Journal articles on the topic 'Geospatial maps'
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1
Kamimura, Kaito. "GSI Maps – Showcase of National Geospatial Data." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-158-2019.
Abstract:
<p><strong>Abstract.</strong> Geospatial Information Authority of Japan (GSI), a special organization of the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), operates web maps "GSI Maps" (https://maps.gsi.go.jp/) (Figure 1). GSI Maps is the showcase of geospatial information developed by GSI and can be used with various devices and web browsers. GSI Maps is one of GSI’s important efforts to realize a society that everyone can get and utilize geospatial information anytime, anywhere.</p>
2
Mogi, Hirosato. "The advancement of utilizing geospatial information via GSI Maps." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-252-2019.
Abstract:
<p><strong>Abstract.</strong> The Geospatial Information Authority of Japan (GSI) is the national organization that has jurisdiction over the Survey Act, and develops geospatial information. We are also promoting utilization of them based on the Basic Act on the Advancement of Utilizing Geospatial Information. In addition, the Japanese government is promoting the Open Data initiative, in which the government widely discloses public data in machine-readable formats and allows secondary use of them. In accordance with these laws and initiative, we aim to realize a society where geospatial information can be widely and highly utilized by the disclosure of geospatial information. In order to achieve our mission, we are working on providing map data using “GSI Maps” (https://maps.gsi.go.jp/) which is a web map developed by using open source software (OSS) as the basis (Figure 1a). In this paper, we introduce “Three Open Policies” to promote utilizing geospatial information provided via GSI Maps.</p>
3
Xu, Haijiang, Tinghua Ai, Qingsheng Guo, and Yi Xiao. "From Maps to Geospatial Knowledge Graph: Geospatial Knowledge Representation and Reasoning." Abstracts of the ICA 6 (August 12, 2023): 1–2. http://dx.doi.org/10.5194/ica-abs-6-279-2023.
4
Le, Phuong-Phi. "Patient access to opioid substitution treatment pharmacy and medical service providers in South Australia: geospatial mapping." Australian Journal of Primary Health 25, no. 2 (2019): 125. http://dx.doi.org/10.1071/py18099.
Abstract:
This cross-sectional study geospatially maps patient access to opioid substitution treatment (OST) pharmacy and medical providers in South Australia (SA), Australia. De-identified data from a total of 2935 public and private OST patients (1092 public cases and 1843 private cases) were included in the study. Geospatial mapping of OST patient locations, their dosing community pharmacy and prescriber was undertaken. The geospatial modelling methods used in this study presents an application whereby information about patient travel patterns to reach OST providers can be used as a tool for treatment service planning.
5
Muthu, Sabarish Senthilnathan, Eleni Gkadolou, and Emmanuel Stefanakis. "Historical Map Collections on Geospatial Web." GEOMATICA 67, no. 3 (September 2013): 163–71. http://dx.doi.org/10.5623/cig2013-035.
Abstract:
The Provincial Archives of New Brunswick (PANB) and the University of New Brunswick Archives (UNBA) maintain a rich collection of historical maps and plans of the City of Fredericton dating back to the 17th Century. This content is in the form of microfiches and paper maps, which are difficult to be accessed and used by researchers and educators. Recently, a series of microfiches and maps have been scanned and are already available in digital form. Going a step further, the advancements in geospatial web technology have been applied to make this digital content a valuable resource of historical information for the endusers. A prototype system has been developed and tested for a set of representative historical maps and plans. The system provides the following functionality: (a) geo-referenced scanned maps can be archived into a geospatial catalog; (b) appropriate metadata can be attached to them; (c) the maps can be superimposed and visualized on top of recent base maps (e.g., Google Maps, Bing Maps, Open Street Map); and (d) the catalog content can be searched and disseminated on the web using geospatial standards. End-users have been exposed to the prototype and evaluated its functionality. Their comments highlight the potential of the prototype in the study of cultural heritage and historical documentation.
6
Kong, Ningning Nicole. "One store has all? - the backend story of managing geospatial information toward an easy discovery." IASSIST Quarterly 42, no. 4 (February 22, 2019): 1–14. http://dx.doi.org/10.29173/iq927.
Abstract:
Geospatial data includes many formats, varying from historical paper maps, to digital information collected by various sensors. Many libraries have started the efforts to build a geospatial data portal to connect users with the various information. For example, GeoBlacklight and OpenGeoportal are two open-source projects that initiated from academic institutions which have been adopted by many universities and libraries for geospatial data discovery. While several recent studies have focused on the metadata, usability and data collection perspectives of geospatial data portals, not many have explored the backend stories about data management to support the data discovery platform. The objective of this paper is to provide a summary about geospatial data management strategies involved in the geospatial data portal development by reviewing case studies. These data management strategies include managing the historical paper maps, scanned maps, aerial photos, research generated geospatial information, and web map services. This paper focuses on the data organization, storage, cyberinfrustracture configuration, preservation and sharing perspectives of these efforts with the goal to provide a range of options or best management practices for information managers when curating geospatial data in their own institutions.
7
Cherif, Mohamed Abderrazak, Sebastien Tripodi, Yuliya Tarabalka, Isabelle Manighetti, and Lionel Laurore. "Novel Approaches for Aligning Geospatial Vector Maps." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-2024 (June 11, 2024): 55–64. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-2024-55-2024.
Abstract:
Abstract. The surge in data across diverse fields presents an essential need for advanced techniques to merge and interpret this information. With a special emphasis on compiling geospatial data, this integration is crucial for unlocking new insights from geographic data, enhancing our ability to map and analyze trends that span across different locations and environments with more authenticity and reliability. Existing techniques have made progress in addressing data fusion; however, challenges persist in fusing and harmonizing data from different sources, scales, and modalities. This research presents a comprehensive investigation into the challenges and solutions in vector map alignment, focusing on developing methods that enhance the precision and usability of geospatial data. We explored and developed three distinct methodologies for polygonal vector map alignment: ProximityAlign, which excels in precision within urban layouts but faces computational challenges; the Optical Flow Deep Learning-Based Alignment, noted for its efficiency and adaptability; and the Epipolar Geometry-Based Alignment, effective in data-rich contexts but sensitive to data quality. In practice, the proposed approaches serve as tools to benefit from as much as possible from existing datasets while respecting a spatial reference source. It also serves as a paramount step for the data fusion task to reduce its complexity.
8
Hochmair, Hartwig, and Adam Benjamin. "Spatial Measurements on USGS Topo Maps." EDIS 2021, no. 1 (February 16, 2021): 7. http://dx.doi.org/10.32473/edis-fr433-2021.
Abstract:
United States Geological Survey topographic maps provide a variety of geospatial measurement tools thanks to their built-in georeferencing capabilities. Georeferencing facilitates display of geographic coordinates and measurement of distances, perimeters, and areas on PDFs using the measure tools built into Adobe Reader and Adobe Acrobat. This 7-page fact sheet written by Hartwig H. Hochmair and published by the UF/IFAS School of Forest Resources and Conservation explains and showcases the use of these geospatial readout functions. It also provides background information about and assistance with estimating point coordinates on the Universal Transverse Mercator grid cast on USGS topographic maps as an optional layer.
9
Chuan Yin, Chuan Yin, Yanhui Wang Chuan Yin, Duoduo Yin Yanhui Wang, Wanzeng Liu Duoduo Yin, Hao Wu Wanzeng Liu, and Kexin Liu Hao Wu. "Rapid Production Method of Massive Thematic Maps Based on Geospatial Knowledge Extraction." 電腦學刊 35, no. 2 (April 2024): 285–301. http://dx.doi.org/10.53106/199115992024043502018.
Abstract:
<p>Geospatial knowledge in massive academic papers can provide knowledge services such as location-based research hotspot analysis, spatio-temporal data aggregation, research results recommendation, etc. However, geospatial knowledge often exists implicitly in literature resources in unstructured form, which is difficult to be directly accessed and mined and utilized for rapid production of massive thematic maps. In this paper, we take the geospatial knowledge of the area studied as an example and introduce its extraction method in detail. An integrated feature template matching and random forest classification algorithm is proposed for accurately identifying research areas from the abstract texts of academic papers and producing thematic maps. Firstly, the precise recognition of geographical names is achieved step by step based on BiLSTM-CRF algorithm and improved heuristic disambiguation method; then, the area studied is extracted by the designed integrated feature recognition template of area studied using random forest classification algorithm, and a fast thematic map is designed for the knowledge of area studied, topic and literature. The experimental results show that the area studied recognition accuracy can reach 97%, the F-value is 96%, and the recall rate reaches 96%, achieving high accuracy and high efficiency of area studied extraction in text. Based on the geospatial knowledge, the thematic map can achieve the effect of fast map formation and accurate expression.</p> <p> </p>
10
Gaata, Methaq Talib. "Robust Watermarking Scheme for GIS Vector Maps." Ibn AL- Haitham Journal For Pure and Applied Science 31, no. 1 (May 10, 2018): 277. http://dx.doi.org/10.30526/31.1.1835.
Abstract:
With the fast progress of information technology and the computer networks, it becomes very easy to reproduce and share the geospatial data due to its digital styles. Therefore, the usage of geospatial data suffers from various problems such as data authentication, ownership proffering, and illegal copying ,etc. These problems can represent the big challenge to future uses of the geospatial data. This paper introduces a new watermarking scheme to ensure the copyright protection of the digital vector map. The main idea of proposed scheme is based on transforming the digital map to frequently domain using the Singular Value Decomposition (SVD) in order to determine suitable areas to insert the watermark data. The digital map is separated into the isolated parts.Watermark data are embedded within the nominated magnitudes in each part when satisfied the definite criteria. The efficiency of proposed watermarking scheme is assessed within statistical measures based on two factors which are fidelity and robustness. Experimental results demonstrate the proposed watermarking scheme representing ideal trade off for disagreement issue between distortion amount and robustness. Also, the proposed scheme shows robust resistance for many kinds of attacks.
11
Kraak, Menno-Jan, Britta Ricker, and Robert Roth. "Seeing the UN Sustainable Development Goals through Maps." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-187-2019.
Abstract:
<p><strong>Abstract.</strong> Purpose: In this presentation, we announce a book project to map the United Nations (UN) Sustainable Development Goals (SDGs). The book project is a collaboration between the UN Cartographic Unit, Geospatial Information Section, and the International Cartographic Association (ICA), with layout and production completed by the University of Wisconsin Cartography Lab. The book provides a visual primer on basic and advanced cartographic design principles, demonstrating the power of mapping to engage with persistent social, economic, and environmental inequities while also illustrating the potential of maps to mislead and therefore reinforce these inequities. Target audiences include: policymakers and researchers collecting geospatial information on SDG indicators to improve data policy and products; analysts and designers utilizing geospatial information to improve maps and graphics of the SDGs; and the general public to promote awareness and dialogue about the most pressing challenges facing our planet. In the following, we describe background on the SDGs, book organization, and development process.</p>
12
Yu, Feiyan, Erik Champion, and David McMeekin. "Exploring Historical Australian Expeditions with Time-Layered Cultural Maps." ISPRS International Journal of Geo-Information 12, no. 3 (March 2, 2023): 104. http://dx.doi.org/10.3390/ijgi12030104.
Abstract:
The Australian Time Layered Cultural Map platform was created to help digital humanities scholars investigate how online geospatial tools could provide exemplars to their humanities colleagues on how historical collections and cultural data could be extended and re-examined with geospatial tools. The project discussed here investigated how Recogito/TMT could effectively extract spatial and temporal data from pure text-based historical information and generate time-layered interactive maps of that spatio-temporal data using accessible and user-friendly software. The target audience was humanities scholars relatively new to geospatial technologies and relevant programming systems. The interactive maps were created with two free, open-source web applications and one commercial GIS (Geographic Information System) mapping application. The relative pros and cons of each application are discussed. This paper also investigates simple workflows for extracting spatiotemporal data into RDF (Resource Description Framework) format to be used as Linked Open Data.
13
Gedney, Ryan, Kimberly Butler Willis, Aaron O’Brien, Michael Luciano, Katherine J. Richardson, and Eric G. Meissner. "Identification of Priority Areas for Increased Testing Using Geospatial Mapping of Incident HIV Cases Near Charleston, South Carolina." Infectious Diseases: Research and Treatment 12 (January 2019): 117863371987075. http://dx.doi.org/10.1177/1178633719870759.
Abstract:
Analysis of disease incidence using geospatial mapping techniques can enhance targeted public health efforts in resource-limited settings. While data for HIV incidence are readily available for some metropolitan regions, there is no existing resource that maps HIV incidence geospatially for Charleston, South Carolina and surrounding counties. To facilitate the public health approach to address the HIV epidemic in this region, we used data collected by the South Carolina Department of Health and Environmental Control (SC-DHEC) from 2014 to 2015 to generate local geospatial maps of disease incidence and identify specific areas that may benefit from increased testing and educational efforts. We identified specific zip codes in which there were a high number of cases from patients residing in those areas, but a low number of providers reporting new cases, and we describe ongoing efforts to address this disparity. This analysis identifies a local, collaborative approach to address the HIV epidemic using routinely collected surveillance data.
14
Albakri, Maythm, and Duaa Salman Hussien. "Evaluating the Quality of Authoritative Geospatial Datasets." Journal of Engineering 23, no. 11 (November 1, 2017): 113–29. http://dx.doi.org/10.31026/j.eng.2017.11.09.
Abstract:
General Directorate of Surveying is considered one of the most important sources of maps in Iraq. It produced digital maps for whole Iraq in the last six years. These maps are produced from different data sources with unknown accuracy; therefore, the quality of these maps needs to be assessed. The main aim of this study is to evaluate the positional accuracy of digital maps that produced from General Directorate of Surveying. Two different study areas were selected: AL-Rusafa and AL-Karkh in Baghdad / Iraq with an area of 172.826 and 135.106 square kilometers, respectively. Different statistical analyses were conducted to calculate the elements of positional accuracy assessment (mean µ, root mean square error RMSE, minimum and maximum errors). According to the obtained results, it can be stated that the maps of the General Directorate of Surveying can be used in reconnaissance or in works that require low or specified positional accuracy (eg. ±5m), and it cannot be used for applications need high accuracy (e.g. precise surveying).
15
Potmesil, Michael. "Maps alive: viewing geospatial information on the WWW." Computer Networks and ISDN Systems 29, no. 8-13 (September 1997): 1327–42. http://dx.doi.org/10.1016/s0169-7552(97)00013-5.
16
Yarema, Nataliya, Myroslava Prokhorenko, Oksana Serant, and Tetiana Terekh. "CREATION OF THE CARTOGRAPHIC WEB APPLICATION OF THE DEVELOPMENT OF THE DEPARTMENT OF CFRTOGRAPHY AND GEOSPATIALMODELLING OF LVIV POLYTECHNIC NATIONAL UNIVERSITY." Technical Sciences and Technologies, no. 3(29) (2022): 192–97. http://dx.doi.org/10.25140/2411-5363-2022-3(29)-192-197.
Abstract:
The article is review and informative. A web application has been created from a series of maps that provide the user with information about the history of the Department of Cartography and Geospatial Modeling of Lviv Polytechnic National University. With the help of a series of maps, you can get the necessary information about the scientific-pedagogical and auxiliary staff of the Department of Cartography and Geospatial Modeling.The data was processed and a database was created in the Microsoft Excel spreadsheet editor, which was used to create an interactive web map of the scientific-pedagogical and auxiliary staff of the Department of Cartography and Geospatial Modeling of Lviv PolytechnicNational University.The methods of cartographic representation are described, namely, the method of localized icons and the method of cartograms, which were used when laying out interactive web maps. The entire algorithm for laying out, editing interactive web maps and creating the web application consisting of a series of such web maps is described step by step and in detail.As a result, the series of interactive web maps of employees of the Department of Cartography and Geospatial Modeling of Lviv Polytechnic National University, localized by place of birth, was obtained. Most of the teachers who worked or currently work at the Department of Cartography and Geospatial Modeling were born in Lviv Oblast and studied at Lviv Polytechnic Institute or Lviv Polytechnic National University.The result of the research is the web application with the series of maps: “Scientific-pedagogical and auxiliary staff of the TMPGM department”, “Scientific-pedagogical and auxiliary staff of the CGM department”, “Number of teachers of TMPGM and CGM departments by regions of Ukraine (as a percentage of the total number of teachers from Ukraine)”.
17
Purnomo, Dony. "UTILIZATION OF GEOSPASIAL INFORMATION TO IMPROVE MAKING MAP SKILL IN GEOGRAPHY LEARNING." GeoEco 5, no. 2 (July 23, 2019): 112. http://dx.doi.org/10.20961/ge.v5i2.29100.
Abstract:
<p><em>The aim of this reseach are:</em><em> (1) To describe the use of geospatial information in improving the skills of students in making maps, (2) To improve the skills of students in making maps. This class action research uses two cycles with research subjects in class XI IPS 4 at SMAN 1 Purwantoro academic year 2018/2019. The indicator of success in this study is the classical completeness of students above 70% and there is an increase in student learning outcomes. The results of this study are (1) Utilization of geospatial information in improving map-making skills through several stages, namely introduction, gathering geospatial information, making maps, presentations, closing. (2) Utilization of geospatial information on geographic subjects can improve students' skills in making maps. Improvement of student learning outcomes is reflected in the percentage of classical completeness in the first cycle of 57.69% and in the second cycle rose to 88.46%. While the average value in classical in the first cycle of 69.82 rose to 82.38 in cycle 2.</em></p>
18
Arzubov, M. V., and A. Ye Batyuk. "Solutions and approaches analysis for geospatial data clustering to optimize performance and user experience of web maps." Ukrainian Journal of Information Technology 5, no. 2 (2023): 88–96. http://dx.doi.org/10.23939/ujit2023.02.088.
Abstract:
In the contemporary epoch, the management and visualization of geospatial information in web browsers have gained substantial importance. Web maps are indispensable tools across various tourism, goods delivery, and ecology sectors. Furthermore, the extensive support of web browsers on diverse devices enhances the accessibility of geospatial data on the web for various users. However, the incessant increment of geospatial information poses new challenges in efficiently displaying data and navigation through these data on web maps. Therefore, the clustering of geospatial data is crucial in dealing with them. Different clustering methods may affect the performance or visual clarity of web maps. To improve the user experience and optimize the use of computing resources, geodata clustering becomes a necessary tool for processing large volumes of markers on the map. Despite significant progress in the development of geodata clustering solutions in web maps, there are some challenges that developers and users may encounter. In this article, challenges with scaling, dynamic cluster data, and heterogeneity of data are described. Existing problems in geodata clustering in web maps require additional research and development. Understanding these issues will help developers and researchers improve existing solutions and create new methods and approaches for efficient clustering of geodata in web maps. The urgency of solving the problem lies in the search for effective clustering solutions that provide an opportunity to ensure convenient interactivity and fast processing of geodata in web maps. This study provides a comprehensive review of data types and clustering methods. Tools and libraries for geodata clustering in web maps are analyzed. Different types of geodata and approaches to working with them were also studied. Concepts such as semi-static data and their positions alongside static and dynamic data types are elucidated. Through the analysis, optimal scenarios for applying specific clustering methods or the utilization of server-side clustering approaches have been identified. Conclusions have also been drawn on the preferred approach when handling extensive volumes of static or semi-static geospatial data, particularly advocating for the application of server-side clustering with caching. In conclusion, various clustering approaches in web maps, both client-side and server-side, have been scrutinized. The advantages and disadvantages of both approaches, along with recommendations on when to apply each method, have been delineated. A noticeable absence of explicit approaches in clustering vast geospatial data for web map representation underpins the relevance and necessity of research in this direction.
19
Akbar, Aulia, Johannes Flacke, Javier Martinez, Rosa Aguilar, and Martin F. A. M. van Maarseveen. "Knowing My Village from the Sky: A Collaborative Spatial Learning Framework to Integrate Spatial Knowledge of Stakeholders in Achieving Sustainable Development Goals." ISPRS International Journal of Geo-Information 9, no. 9 (August 26, 2020): 515. http://dx.doi.org/10.3390/ijgi9090515.
Abstract:
Geospatial data is urgently needed in decision-making processes to achieve Sustainable Development Goals (SDGs) at global, national, regional and local scales. While the advancement of geo-technologies to obtain or produce geospatial data has become faster and more affordable, many countries in the global south still experience a geospatial data scarcity at the rural level due to complex geographical terrains, weak coordination among institutions and a lack of knowledge and technologies to produce visualised geospatial data like maps. We proposed a collaborative spatial learning framework that integrates the spatial knowledge of stakeholders to obtain geospatial data. By conducting participatory mapping workshops in three villages in the Deli Serdang district in Indonesia, we tested the framework in terms of facilitating communication and collaboration of the village stakeholders while also supporting knowledge co-production and social learning among them. Satellite images were used in digital and non-digital mapping workshops to support village stakeholders to produce proper village maps while fulfilling the SDGs’ emphasis to make geospatial data available through a participatory approach.
20
Rautenbach, Victoria, and Serena Coetzee. "MapFactory – Towards a mapping design pattern for big geospatial data." Proceedings of the ICA 1 (May 16, 2018): 1–6. http://dx.doi.org/10.5194/ica-proc-1-94-2018.
Abstract:
With big geospatial data emerging, cartographers and geographic information scientists have to find new ways of dealing with the volume, variety, velocity, and veracity (4Vs) of the data. This requires the development of tools that allow processing, filtering, analysing, and visualising of big data through multidisciplinary collaboration. In this paper, we present the MapFactory design pattern that will be used for the creation of different maps according to the (input) design specification for big geospatial data. The design specification is based on elements from ISO19115-1:2014 Geographic information &ndash; Metadata &ndash; Part 1: Fundamentals that would guide the design and development of the map or set of maps to be produced. The results of the exploratory research suggest that the MapFactory design pattern will help with software reuse and communication. The MapFactory design pattern will aid software developers to build the tools that are required to automate map making with big geospatial data. The resulting maps would assist cartographers and others to make sense of big geospatial data.
21
Albakri, Maythm. "Development of Spatial Data Infrastructure based on Free Data Integration." Journal of Engineering 21, no. 10 (October 1, 2015): 133–49. http://dx.doi.org/10.31026/j.eng.2015.10.09.
Abstract:
In recent years, the performance of Spatial Data Infrastructures for governments and companies is a task that has gained ample attention. Different categories of geospatial data such as digital maps, coordinates, web maps, aerial and satellite images, etc., are required to realize the geospatial data components of Spatial Data Infrastructures. In general, there are two distinct types of geospatial data sources exist over the Internet: formal and informal data sources. Despite the growth of informal geospatial data sources, the integration between different free sources is not being achieved effectively. The adoption of this task can be considered the main advantage of this research. This article addresses the research question of how the integration of free geospatial data can be beneficial within domains such as Spatial Data Infrastructures. This was carried out by suggesting a common methodology that uses road networks information such as lengths, centeroids, start and end points, number of nodes and directions to integrate free and open source geospatial datasets. The methodology has been proposed for a particular case study: the use of geospatial data from OpenStreetMap and Google Earth datasets as examples of free data sources. The results revealed possible matching between the roads of OpenStreetMap and Google Earth datasets to serve the development of Spatial Data Infrastructures.
22
Karim, Jufri, L. M. Iradat Salihin, Fitra Saleh, Ahmad Hidayat, and Noor Husna Khairisa. "Pengembangan Data Geospasial Melalui Pemetaan Desa Dengan Menggunakan Drone Di Kelurahan Pondidaha Kabupaten Konawe." Society : Jurnal Pengabdian Masyarakat 2, no. 1 (January 15, 2023): 6–17. http://dx.doi.org/10.55824/jpm.v2i1.228.
Abstract:
Geospatial data is indispensable as basic information for resource utilization and area development. Geospatial data in the form map is necessary to be owned by each administrative area until smallest unit (village/kelurahan). However, the availability of geospatial data in the village is still very limited so that information about the geographical conditions and potentials of the village is not thoroughly known. Administratively, Pondidaha Kelurahan is included in the Pondidaha Sub-district, Konawe Regency, but does not have sufficient geospatial data yet to describe the geographical condition of the area. Therefore, the community service team together with apparatus and community of Pondidaha compiled geospatial data in the Pondidaha by using drone. The activities were started from the collection of secondary data as initial and supporting data in field activities, then continued by coordination with government and community of Pondidaha. Making geospatial data using drones is done by these following steps: (1) making work maps; (2) identifying, validating and field mapping; (3) processing GCP/ICP control point data; (4) processing aerial photography data; (5) making digital land maps; (6) compiling spatial databases; (7) cartographic and printing processes. Geospatial data generated include: landform map, topographical map, slope map, administrative map and land use map of Pondidaha.
23
Pedersen, Katrina, Ryan R. Jensen, Lucas K. Hall, Mitchell C. Cutler, Mark K. Transtrum, Kent L. Gee, and Shane V. Lympany. "K-Means Clustering of 51 Geospatial Layers Identified for Use in Continental-Scale Modeling of Outdoor Acoustic Environments." Applied Sciences 13, no. 14 (July 12, 2023): 8123. http://dx.doi.org/10.3390/app13148123.
Abstract:
Applying machine learning methods to geographic data provides insights into spatial patterns in the data as well as assists in interpreting and describing environments. This paper investigates the results of k-means clustering applied to 51 geospatial layers, selected and scaled for a model of outdoor acoustic environments, in the continental United States. Silhouette and elbow analyses were performed to identify an appropriate number of clusters (eight). Cluster maps are shown and the clusters are described, using correlations between the geospatial layers and clusters to identify distinguishing characteristics for each cluster. A subclustering analysis is presented in which each of the original eight clusters is further divided into two clusters. Because the clustering analysis used geospatial layers relevant to modeling outdoor acoustics, the geospatially distinct environments corresponding to the clusters may aid in characterizing acoustically distinct environments. Therefore, the clustering analysis can guide data collection for the problem of modeling outdoor acoustic environments by identifying poorly sampled regions of the feature space (i.e., clusters which are not well-represented in the training data).
24
Titanto, Mardityo Tulus, and Teduh Dirgahayu. "Google Maps-Based Geospatial Application Framework with Custom Layers Management." Applied Mechanics and Materials 513-517 (February 2014): 822–26. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.822.
Abstract:
Web 2.0 technologies have offered interactive map services on the Internet. Google Maps is a map service that makes available its API (application programming interface) for developing Web-based geospatial applications. In such applications, layers are used to organise spatial data. Using layers, users can abstract from data that are irrelevant to their interest. However, Google Maps API has no direct support to the development of custom layers management. Developers have to design and implement such support in every application they develop. It makes the development processes less efficient and error prone. This paper proposes a software framework to facilitate the development of geospatial applications with custom layers based on Google Maps. Using this framework, developers can produce higher quality applications in shorter time.
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Huda, Feblil, Kaspul Anuar, Syafri Syafri, and Anita Susilawati. "PEMBUATAN PETA GEOSPASIAL MELALUI PEMETAAN UDARA PADA KELURAHAN BATU BERSURAT, KECAMATAN XIII KOTO KAMPAR, KABUPATEN KAMPAR, PROVINSI RIAU." Dinamisia : Jurnal Pengabdian Kepada Masyarakat 3, no. 1 (June 25, 2019): 76–83. http://dx.doi.org/10.31849/dinamisia.v3i1.2060.
Abstract:
One of the most commonly used geospatial mapping methods is photogrammetry (aerial mapping). Photogrammetry is a method of mapping objects on the surface of the earth by using aerial photography as a medium. The aerial mapping process is carried out through cameras installed on Unmanned Aerial Vehicle (UAV). From the aerial photography, object interpretation and geometry measurements will be carried out to produce line maps, digital maps and photo maps. In general, photogrammetry is a mapping technology by utilizing aerial photography to be processed into a geo-spatial information system. Batu Bersurat Village is one of the villages located in Subdistrict XIII Koto Kampar, Kampar Regency, which did not have a geospatial information map. Community service team from the Mechanical Engineering Department of the University of Riau had a plan to carry out community service activities in Batu Besurat Village in the form of making geospatial information maps through aerial mapping. This aerial mapping activity was carried out by utilizing UAV with the type of fixed wing. In its implementation, the community service activities were planned to involve Mechanical Engineering students, university students of the University of Riau, village officials and the local community. It is expected that with this community service program, the geospatial information system map made by Batu Bersurat Village can be used in village spatial planning for agricultural land, residential land and validation of village boundaries.
26
Klimánek, Martin, and Miloš Cibulka. "Digital forestry maps representation using web mapping services." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 56, no. 2 (2008): 293–98. http://dx.doi.org/10.11118/actaun200856020293.
Abstract:
The Web Mapping Services (WMS) are very useful means for presentation of digital geospatial data in the Internet environment. Typical Open Source example of these services is development environment MapServer, which was originally developed by the University of Minnesota ForNet project in cooperation with NASA and the Minnesota Department of Natural Resources. MapServer is not a full-featured Geographical Information System (GIS), but provides the core functionality to support a wide variety of web applications. Complex and open information system about forest (and cultural) land is presented in real example of MapServer application with data from the Mendel University Training Forest. MapServer is used in effective representing of data for the University Forest staff, students and general public from October 2002. MapServer is usually applied in education process of GIS and Remote Sensing and for sharing of the Faculty of Forestry and Wood Technology Departments geospatial data.
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Forrester, Nikki. "How I use tide gauges to develop geospatial maps." Nature 628, no. 8006 (April 1, 2024): 228. http://dx.doi.org/10.1038/d41586-024-00908-w.
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Dougherty, Leanne, Masduq Abdulkarim, Fiyidi Mikailu, Usman Tijani, Kazeem Owolabi, Kate Gilroy, Ahmed Naiya, et al. "From paper maps to digital maps: enhancing routine immunisation microplanning in Northern Nigeria." BMJ Global Health 4, Suppl 5 (June 2019): e001606. http://dx.doi.org/10.1136/bmjgh-2019-001606.
Abstract:
Geographical information systems (GIS) can be effective decision-support tools. In this paper, we detail a GIS approach implemented by the Bauchi and Sokoto state primary healthcare development agencies in Nigeria to generate and convert routine immunisation (RI) paper maps to digital maps for microplanning. The process involved three stages: primary and secondary data collection and reconciliation, geospatial data processing and analysis, and production and validation of maps. The data collection and reconciliation stage identified a number of challenges with secondary data sources, including the need to standardise and reconcile health facility and settlement names. The study team was unable to apply population estimates generated from the Global Polio Eradication Initiative to RI planning because operational boundaries for polio activities are defined differently from RI activities. Application of open-source GIS software enabled the combination of multiple datasets and analysis of geospatial data to calculate catchment areas for primary health centres (PHCs) and assign vaccination strategies to communities. The activity resulted in the development of PHC catchment area digital maps, and captured next steps and lessons learnt for RI microplanning in the two states. While the digital maps provided input into the microplanning process, more work is needed to build capacity, standardise processes and ensure the quality of data used to generate the maps. RI service providers and communities must be engaged in the process to validate, understand the data, the contextual factors that influence decisions about which vaccination strategies RI microplans include and how resources are allocated.
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Wang, Yong, Kaixuan Du, Xianghong Che, Ruiyuan Ma, and Fu Ren. "Recognition and Semantic Information Extraction for Map Based on Deep Learning." Proceedings of the ICA 5 (August 7, 2023): 1–8. http://dx.doi.org/10.5194/ica-proc-5-25-2023.
Abstract:
Abstract. Geospatial information contained in maps plays an important role in geographic information data acquisition, map understanding, intelligent mapping and other applications. In terms of map recognition and geospatial information extraction from maps, traditional methods that heavily rely on human or human-computer interaction for semantic recognition can no longer meet the real-time needs. In this paper, we first analysed the composition and characteristics of maps, and then systematically illustrated the semantic understanding methods of map image recognition, target detection of geographic features and semantic segmentation of geographic features based on deep learning architecture, which is crucial to intelligent map recognition and mapping.
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Yankelevich, S. S. "Development of thematic cartography based on geospatial knowledge and cognitive approach." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 27, no. 4 (2022): 122–27. http://dx.doi.org/10.33764/2411-1759-2022-27-4-122-127.
Abstract:
In the modern world, there have been changes in the requirements for many sciences, as new tasks have appeared in society. In this regard, the requirements for cartography have also changed. Humanity entered a fundamentally new stage in the development of the economy and society – the age of knowledge. It is knowledge that is an economic and resource value at the present stage of the devel-opment of human civilization. This phenomenon concerns absolutely all aspects of human life. In this regard, ideas about the interaction of a man and technology are changing, which entails changes in all spheres of activity, including mapping. New products and technologies are needed by different users, adapted to the cognitive features of human perception of information and will contribute to quick and correct decision-making. Such technologies allow us to find new forms of representation of geospatial information. Cartography becomes an efficient mechanism for visualizing knowledge that is connect-ed by spatial relations on the earth's surface – geospatial knowledge. Geospatial knowledge can be displayed in thematic maps both together with geospatial information and separately, while the choice of the visualization option depends upon the tasks being solved on the map being developed, as well as the geospatial knowledge that needs to be shown. Mapping geospatial knowledge is currently a promising area of research that has not been studied much yet. At the same time, maps containing geo-spatial knowledge, can significantly simplify the solution of many routine geoinformation tasks, re-duce time and labor costs, increase the efficiency of managerial decision-making, as well as expand the range of tasks solved on the basis of thematic maps.
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RINALDI, LAURA, and GIUSEPPE CRINGOLI. "Exploring the interface between diagnostics and maps of neglected parasitic diseases." Parasitology 141, no. 14 (March 28, 2014): 1803–10. http://dx.doi.org/10.1017/s0031182013002230.
Abstract:
SUMMARYAlthough not new, the ‘One Health’ concept is gaining progressively more importance in parasitology. Now more than ever, veterinary and human perspectives should be closely joined in diagnosis and surveillance of neglected parasitic diseases. We argue that concerted, standardized and harmonized diagnostic and surveillance strategies are needed for the control and/or elimination of animal and human neglected parasitic infections. A key challenge is to integrate parasitological data with available geospatial methods in an accessible and user-friendly framework. We discuss the capability of new diagnostic devices (e.g. Mini-FLOTAC) and geospatial technologies supported by mobile- and electronic-based approaches as one of the research priorities of the new millennium.
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Jenny, Bernhard, Kadek Ananta Satriadi, Yalong Yang, Christopher R. Austin, Simond Lee, Nian Chan, Maxime Cordeil, and Barrett Ens. "Interacting with Maps in Virtual and Augmented Reality." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-147-2019.
Abstract:
<p><strong>Abstract.</strong> Augmented reality (AR) and virtual reality (VR) technology are increasingly used for the analysis and visualisation of geospatial data. It has become simple to create an immersive three-dimensional AR or VR map with a combination of game engines (e.g., Unity), software development kits for streaming and rendering geospatial data (e.g., Mapbox), and affordable hardware (e.g., HTC Vive). However, it is not clear how to best interact with geospatial visualisations in AR and VR. For example, there are no established standards to efficiently zoom and pan, select map features, or place markers on AR and VR maps. In this paper, we explore interaction with AR and VR maps using gestures and handheld controllers.</p><p>As for gesture-controlled interaction, we present the results of recent research projects exploring how body gestures can control basic AR and VR map operations. We use motion-tracking controllers (e.g., Leap Motion) to capture and interpret gestures. We conducted a set of user studies to identify, explore and compare various gestures for controlling map-related operations. This includes, for example, mid-air hand gestures for zooming and panning (Satriadi et al. 2019), selecting points of interest, adjusting the orientation of maps, or placing markers on maps. Additionally, we present novel VR interfaces and interaction methods for controlling the content of maps with gestures.</p><p>As for handheld controllers, we discuss interaction with exocentric globes, egocentric globes (where the user stands inside a large virtual globe), flat maps, and curved maps in VR. We demonstrate controller-based interaction for adjusting the centre of world maps displayed on these four types of projection surfaces (Yang et al. 2018), and illustrate the utility of interactively movable VR maps by the example of three-dimensional origin-destination flow maps (Yang et al. 2019).</p>
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Shingaki, Noriko. "Map Usage on Smartphones and Acquisition of Spatial Knowledge." Abstracts of the ICA 1 (July 15, 2019): 1–3. http://dx.doi.org/10.5194/ica-abs-1-335-2019.
Abstract:
<p><strong>Abstract.</strong> The study of spatial cognition has been one of important research domain for geographic information science. Recently our circumstance to acquire geographic information have been changed (e. g. Wakabayashi, Itoh, & Nagami, 2011), so It is important to clarify the influence of the environmental change in the acquisition of spatial knowledge.</p><p>In this study we revealed relationships between the tendency to use geospatial information on smartphones and the acquisition of spatial knowledge. Currently, most people own smartphones and obtain transit information from them, such as train transit planners and Google maps, when they visit a place for the first time. The usage of geospatial information on smartphones significantly affects the accuracy of cognitive maps. Maps, including train route maps, present locational information widely, in a two-dimensional space; thus, users can understand the relationships among locations over a wide area. In contrast, the small displays of smartphones permit the concurrent viewing of only small areas of geospatial information. Locational information, such as the results of transportation planner applications, are typically described in a one-dimensional space, from start point to goal point.</p><p>Little is known regarding the effect of accessing geospatial information through smartphones on cognitive maps. The purpose of this study was to determine how people obtain locational information and how the experience of accessing locational information through smartphones affects the acquisition spatial knowledge regarding locations of places. To understand this spatial knowledge acquisition, we conducted two experiments.</p>
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Makinano-Santillan, M., J. R. Santillan, E. M. O. Morales, L. C. S. Asube, A. M. Amora, L. C. Cutamora, and R. M. Makinano. "ACADEME-LOCAL GOVERNMENT PARTNERSHIP TOWARDS EFFECTIVE APPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SMARTER FLOOD DISASTER MANAGEMENT AT THE LOCAL LEVEL: AN EXAMPLE FROM MINDANAO, PHILIPPINES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 109–15. http://dx.doi.org/10.5194/isprs-archives-xli-b8-109-2016.
Abstract:
In this paper, we discuss how an academe-local government partnership can lead the way for the effective use of geospatial technologies for smarter and geospatially-informed decision making before, during, and after a flood disaster. In Jabonga municipality, in the province of Agusan del Norte, in Mindanao, Philippines, two significant flooding events occurred in the year 2014 which were caused by overflowing water bodies due to continuous heavy rains. These flood events inundated populated areas, caused massive evacuation, made roads un-passable, and greatly damaged sources of incomes such as croplands and other agricultural areas. The partnership between Caraga State University and the local government of Jabonga attempts to improve localized flood disaster management through the development of web-based Near-real Time Flood Event Visualization and Damage Estimations (Flood EViDEns) application. Flood EViDENs utilizes LiDAR-derived elevation and information products as well as other elevation datasets, water level records by monitoring stations, flood simulation models, flood hazard maps, and socio-economic datasets (population, household information, etc.), in order to visualize in near-real time the current and future extent of flooding, to disseminate early warnings, and to provide maps and statistics of areas and communities affected and to be affected by flooding. The development of Flood EViDEns as the main product of the partnership is an important application of geospatial technologies that will allow smarter and geospatially-informed decision making before, during, and after a flood disaster in Jabonga.
35
Makinano-Santillan, M., J. R. Santillan, E. M. O. Morales, L. C. S. Asube, A. M. Amora, L. C. Cutamora, and R. M. Makinano. "ACADEME-LOCAL GOVERNMENT PARTNERSHIP TOWARDS EFFECTIVE APPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SMARTER FLOOD DISASTER MANAGEMENT AT THE LOCAL LEVEL: AN EXAMPLE FROM MINDANAO, PHILIPPINES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 109–15. http://dx.doi.org/10.5194/isprsarchives-xli-b8-109-2016.
Abstract:
In this paper, we discuss how an academe-local government partnership can lead the way for the effective use of geospatial technologies for smarter and geospatially-informed decision making before, during, and after a flood disaster. In Jabonga municipality, in the province of Agusan del Norte, in Mindanao, Philippines, two significant flooding events occurred in the year 2014 which were caused by overflowing water bodies due to continuous heavy rains. These flood events inundated populated areas, caused massive evacuation, made roads un-passable, and greatly damaged sources of incomes such as croplands and other agricultural areas. The partnership between Caraga State University and the local government of Jabonga attempts to improve localized flood disaster management through the development of web-based Near-real Time Flood Event Visualization and Damage Estimations (Flood EViDEns) application. Flood EViDENs utilizes LiDAR-derived elevation and information products as well as other elevation datasets, water level records by monitoring stations, flood simulation models, flood hazard maps, and socio-economic datasets (population, household information, etc.), in order to visualize in near-real time the current and future extent of flooding, to disseminate early warnings, and to provide maps and statistics of areas and communities affected and to be affected by flooding. The development of Flood EViDEns as the main product of the partnership is an important application of geospatial technologies that will allow smarter and geospatially-informed decision making before, during, and after a flood disaster in Jabonga.
36
Pullar, David, and Stephen Donaldson. "Accuracy Issues for Spatial Update of Digital Cadastral Maps." ISPRS International Journal of Geo-Information 11, no. 4 (March 24, 2022): 221. http://dx.doi.org/10.3390/ijgi11040221.
Abstract:
All geospatial data are updated periodically. Cadastral parcel mapping, however, has special update requirements that set it apart from other geospatial data. Mapped boundaries change continuously to fit with new survey plans. Additionally, new parcels have to be fitted and aligned with adjoining parcels to merge them into existing cadastral mapping. This is preferably performed by a spatial adjustment approach to systematically improve its accuracy over time. This paper adapts methods for analysis and adjustment of survey networks to improve the accuracy of cadastral mapping with better coordinate positioning and survey plan dimensions. Case studies for both hypothetical and real cadastral mapping are used to illustrate the issues and spatially resolve errors. Adjustment results achieve an accuracy consistent with other GIS layers and boundary features visible in high-resolution orthoimagery. Graphical charts based on stress–strain relationships provide a simplified means to interpret post-adjustment results to identify and fix potential errors.
37
Ogureeva, G. N., and T. V. Kotova. "Biogeographic maps for geospatial analysis of environmental potential of Russia." Geobotanical mapping, no. 2013 (2013): 136–44. http://dx.doi.org/10.31111/geobotmap/2013.136.
Abstract:
The concept of ecological potential is realized by development of biogeographical and bioecological maps. Experience of preparation of a set of integrated bioecological maps of Russia of scale 1 : 8 000 000, displaying biot as a whole is presented. It includes maps – Zones and altitudinal zonality types of vegetation of Russia and adjacent territories, Ecoregions of Russia, Bioms of Russia. Maps are developed on the basis of allocation regional (ecological division) and typological (bioms diversity) divisions biote a cover. These divisions can serve basic units at geoinformation researches of modern ecological potential, a binding of the information according to a biodiversity and to a condition biote at national and regional levels. On them it is possible to make inventory of a biodiversity, the major parameter of ecological potential of landscapes, to choose characteristic and unique objects for monitoring and conservations, to planning the actions connected with sustainability progress lands and conservations ecosystems and other.They are directed on revealing of ecological potential of territorial units (zones ecoregions bioregions) through the ecological characteristic biote or on revealing of differentiation biote (zonobioms group of regional bioms regional bioms) through the characteristic of its ecology-typological variety.
38
Utrobina, Elena S., Irina P. Kokorina, Lyudmila K. Radchenko, and Tatyana S. Molokina. "PERCEPTION OF CARTOGRAPHIC IMAGES AND GEOSPATIAL INFORMATION ON MAPS AND MOBILE DEVICES." Interexpo GEO-Siberia 1, no. 2 (July 8, 2020): 96–102. http://dx.doi.org/10.33764/2618-981x-2020-1-2-96-102.
Abstract:
The article is devoted to the consideration of the features of the perception of cartographic images and geospatial information on traditional maps and mobile devices. Cartographic visualization can be considered as interactive construction of virtual (static, dynamic) cartographic images and their perception. The main properties of perception include: objectivity, integrity, structurality, meaningfulness, constancy, apperception, activity. Some other properties of perception are distinguished as sequence, memorability, correlation, reaction to movement. The article analyzes and generalizes the properties of perception. The study of the properties of perception from the position of visual perception of these properties on traditional maps and mobile devices. The same properties of perception of cartographic image and geospatial information on maps and mobile devices reveal themselves differently. This must be taken into account when developing cartographic applications in order to better adapt them to the specifics of user perception.
39
Brumana, Raffaella, Daniela Oreni, Branka Cuca, Anna Rampini, and Monica Pepe. "Open Access to Historical Information for Landscape Analysis in an SDI Framework." International Journal of Agricultural and Environmental Information Systems 4, no. 3 (July 2013): 18–40. http://dx.doi.org/10.4018/ijaeis.2013070102.
Abstract:
The paper illustrates the potentials of geospatial data to access a historical digital atlas for landscape analysis and territorial government. The experience of a historical geo-portal, the “Atl@nte dei Catasti Storici,” in the management of geo-referenced and non-geo-referenced maps—ancient cadastral and topographic maps of the Lombardy Region—can be considered a case study with common aspects to many European regions with an extensive cartographic heritage. The development of downstream Web-based services enables integration with other data sources (current maps, satellite and Unmanned Aerial Vehicle [UAV] airborne photogrammetry, and multi-spectral images and derived products). This provides new scenarios for retrieving geospatial knowledge in support of more sustainable management and governance of the territory.
40
Curran, Kevin, John Crumlish, and Gavin Fisher. "OpenStreetMap." International Journal of Interactive Communication Systems and Technologies 2, no. 1 (January 2012): 69–78. http://dx.doi.org/10.4018/ijicst.2012010105.
Abstract:
OpenStreetMap is a collaborative web-mapping project that collects geospatial data to create and distribute online maps, freely available to anyone with an Internet connection. Once accessed, OpenStreetMap allows Internet users to contribute and edit geospatial data, effectively making it the mapping equivalent of Wikipedia. OpenStreetMap is maintained by volunteer cartographers from around the world who use GPS devices, portable cameras, and laptops for field mapping. Collected data are complemented with digitised open source aerial photography and free maps from the governmental and commercial sources. This report provides a summary of OpenStreetMap as a remarkable example of participatory geographic information systems (GIS).
41
Arzoumanidis, Lukas, Jonathan Hecht, and Youness Dehbi. "Towards a Deep Automatic Generation of Figure-ground Maps." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W5-2024 (June 27, 2024): 33–39. http://dx.doi.org/10.5194/isprs-annals-x-4-w5-2024-33-2024.
Abstract:
Abstract. Figure-ground maps play a key role in many disciplines where urban planning or analysis is involved. In this context, the automatic generation of such maps with respect to certain requirements and constraints is an important task. This paper presents a first step towards a deep automatic generation of figure-ground maps where the built density of the generated scenes is controlled and taken into account. This is preformed building upon a Geographic Data Translation model which has been applied to generate less available geospatial features, e.g. building footprints, from more widely available geospatial data, e.g. street network data, using conditional Generative Adversarial Networks. A novel processing approach is introduced to incorporate the population density and the built density accordingly. Furthermore, the impact of both the level of detail of the street network, i.e. its sparsity or density, and the spatial resolution of the training data on the generated figure-ground maps has been investigated. The generated maps and the qualitative results reveal an obvious impact of these parameters on the layout of built and unbuilt areas. Our approach paves the way for the expansion of existing districts by figure-ground maps of future neighbourhoods considering factors such as density and further parameters which will be subject of future work.
42
Reinhart, H. "Contextualizing Cave Maps as Geospatial Information: Case Study of Indonesia." IOP Conference Series: Earth and Environmental Science 98 (December 2017): 012031. http://dx.doi.org/10.1088/1755-1315/98/1/012031.
43
Potic, Ivan, Marija Stojanovic, Nina Curcic, Dejan Djordjevic, and Radoje Bankovic. "Development of geospatial passability maps: A multi-criteria analysis approach." Journal of the Geographical Institute Jovan Cvijic, SASA, no. 00 (2024): 2. http://dx.doi.org/10.2298/ijgi230822002p.
Abstract:
This research presents a comprehensive analysis of the production of terrain passability maps in southeastern Serbia, employing a multi-criteria decision-making (MCDM) analysis. The study integrates various geographical and infrastructural aspects, assigning coefficients to each input parameter, including rivers, roads, rails, CORINE Land Cover (CLC), soil, slope, and the Topographic Ruggedness Index (TRI). The introduction of the TRI marks an innovative advancement in terrain analysis and passability. By comparing wet and dry periods, the study provides critical insights into the dynamic nature of terrain passability, with implications for transportation planning and emergency response. The research's innovative approach and detailed examination set it apart, offering valuable contributions to scholarly comprehension and practical applications. The findings underscore the potential for interdisciplinary collaboration and the broad impact of geographic information systems (GIS) and terrain analysis in addressing real-world challenges. Future research may explore additional factors influencing terrain passability and expand the geographical scope of the study.
44
Wakabayashi, Yoshiki. "Intergenerational differences in the use of maps: results from an online survey." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-388-2019.
Abstract:
<p><strong>Abstract.</strong> Since the end of the 20th century, the widespread availability of information and communications technology (ICT) has led to an increased use of web-based maps that have supposedly changed the use of geospatial information. Although previous studies focused on the conceptual or technical aspects of web maps, few studies have conducted an empirical analysis of the diversity of map usage. In particular, intergenerational differences in the use of digital maps have apparently expanded owing to the generation gap in the skills needed to use ICT devices. In this study, I examined variations in map usage by paying attention to the characteristics of the millennial generation.</p><p> An online survey of 624 people who signed up for participation was conducted with a research company in 2018. They were sampled equally by gender and age group and were from the Tokyo metropolitan area. A questionnaire was designed to gather data about their current state of map use, their usage of ICT devices, their degree of geospatial awareness, and demographic attributes. The difference in map usage patterns between generational groups was examined using statistical methods.</p><p> Analysis of the data revealed that most people use web maps while conventional paper maps are still widely used by the middle-aged and the elderly. In particular, intergenerational differences in map usage were observed: younger people prefer using web maps with mobile devices for checking locations but older people are still using conventional paper maps.</p><p> Among the web maps available, Google Maps was used by the majority of respondents, especially by the younger age group. The next most frequently used was Yahoo! Maps, which was mainly used by the middle-aged and older people while Apple Maps was also preferred by younger people. More than 80% of web map users browse the map with a smartphone; however, middle-aged and older groups tended to use maps with PCs. An analysis of conventional map use revealed many people use tourist maps, maps on signboards, and in-car navigation systems. However, some intergenerational differences were observed. Young people use fewer road maps and in-car navigation systems while elderly people use more housing maps and topographic maps.</p><p> An analysis of the relationship between map use and geospatial literacy revealed that younger respondents preferred digital maps to paper maps and tended not to ask someone else for directions but relied on ICT tools to find their way. Since some studies have pointed out that the accustomed use of navigation tools may have negative effects on people’s geospatial awareness, young people’s dependence on web maps may reduce their concern with maps and geography, which is characteristic of the millennial generation.</p></p>
45
Mkrtchian, A., and P. Shuber. "A method for geospatial modeling and mapping of climatic characteristics from meteostation observation data." Visnyk of the Lviv University. Series Geography, no. 39 (December 15, 2011): 245–53. http://dx.doi.org/10.30970/vgg.2011.39.2185.
Abstract:
In the paper the fundamentals of the method of geospatial modeling of climatic fields based on multiple regression analysis and geostatistics are given. This method is promising as a tool for the optimization and formalization of the climatic mapping techniques and the improvement of the precision and reliability of climatic maps. Key words: geospatial modeling, climatic characteristics, land-surface parameters, geostatistical interpolation.
46
Peller, Peter. "From Paper Map to Geospatial Vector Layer." IASSIST Quarterly 42, no. 3 (December 12, 2018): 1–24. http://dx.doi.org/10.29173/iq914.
Abstract:
With paper map use in decline, one of the strategies that libraries and archives can adopt to make the information contained within them more accessible and usable is to extract features of interest from their scanned raster maps and convert those to geospatial vector data. This process adds valuable unique data to library geospatial collections and enables those previously map-bound features to be used separately in geographic information systems (GIS) software for custom mapping and analysis. Advances in partially automating most of the process have made this a much more viable option for libraries and archives. Although there is no one-size-fits-all automated solution for all maps and map features, this paper provides a complete description of the entire process incorporating examples of the various techniques and software used in selected studies that would be applicable in the library and archive environment.
47
Purwanto, Purwanto, Ike Sari Astuti, Rudi Hartono, and Ghada Abd Elsattar Mohammed Oraby. "ArcGIS story maps in improving teachers’ Geography awareness." Jurnal Pendidikan Geografi 27, no. 2 (June 30, 2022): 206–18. http://dx.doi.org/10.17977/um017v27i22022p206-218.
Abstract:
The purpose of this study is to examine the use of story maps in increasing sustainable Geography awareness among Geography teachers. The advent of story maps has altered the current Geography education in the digital era. ArcGIS story maps are a type of user-friendly geospatial technology renewal. This story map is believed capable of helping students learn Geography more independently, transforming Geography education. This belief should be reinforced by implementing story maps on their own Geography teachers, who have low Geography literacy rates in general. This action research involved 67 Geography teachers who were members of the East Java Geography Teacher Working Group, with various backgrounds, ages, and teaching experiences. Learning is implemented using blended learning and the in-on-in model. With blended project-based learning, this research was conducted to solve problems related to high school teachers' low Geography awareness. To identify the effects of the treatment, the obtained data were analyzed using a different test with paired t-test. The findings showed that story maps could increase long-term geographic awareness, illustrated by the obtained significant level of more than 0.05. This success is influenced by teachers' knowledge and experience with geospatial technology, as well as their age. Although the ability to create story projects is limited, the use of story maps provides a meaningful experience for teachers to think, reason, and act geographically.
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Klettner, Silvia. "Form Follows Content: An Empirical Study on Symbol-Content (In)Congruences in Thematic Maps." ISPRS International Journal of Geo-Information 9, no. 12 (December 2, 2020): 719. http://dx.doi.org/10.3390/ijgi9120719.
Abstract:
Through signs and symbols, maps represent geographic space in a generalized and abstracted way. Cartographic research is, therefore, concerned with establishing a mutually shared set of signs and semiotic rules to communicate geospatial information successfully. While cartographers generally strive for cognitively congruent maps, empirical research has only started to explore the different facets and levels of correspondences between external cartographic representations and processes of human cognition. This research, therefore, draws attention to the principle of contextual congruence to study the correspondences between shape symbols and different geospatial content. An empirical study was carried out to explore the (in)congruence of cartographic point symbols with respect to positive, neutral, and negative geospatial topics in monothematic maps. In an online survey, 72 thematic maps (i.e., 12 map topics × 6 symbols) were evaluated by 116 participants in a between-groups design. The point symbols comprised five symmetric shapes (i.e., Circle, Triangle, Square, Rhomb, Star) and one Asymmetric Star shape. The study revealed detailed symbol-content congruences for each map topic as well as on an aggregated level, i.e., by positive, neutral, and negative topic clusters. Asymmetric Star symbols generally showed to be highly incongruent with positive and neutral topics, while highly congruent with negative map topics. Symmetric shapes, on the other hand, emerged to be of high congruence with positive and neutral map topics, whilst incongruent with negative topics. As the meaning of point symbols showed to be susceptible to context, the findings lead to the conclusion that cognitively congruent maps require profound context-specific considerations when designing and employing map symbols.
49
Une, Hiroshi, and Takayuki Nakano. "Recent innovation of geospatial information technology to support disaster risk management and responses." Proceedings of the ICA 1 (May 16, 2018): 1–4. http://dx.doi.org/10.5194/ica-proc-1-117-2018.
Abstract:
Geographic location is one of the most fundamental and indispensable information elements in the field of disaster response and prevention. For example, in the case of the Tohoku Earthquake in 2011, aerial photos taken immediately after the earthquake greatly improved information sharing among different government offices and facilitated rescue and recovery operations, and maps prepared after the disaster assisted in the rapid reconstruction of affected local communities. Thanks to the recent development of geospatial information technology, this information has become more essential for disaster response activities. Advancements in web mapping technology allows us to better understand the situation by overlaying various location-specific data on base maps on the web and specifying the areas on which activities should be focused. Through 3-D modelling technology, we can have a more realistic understanding of the relationship between disaster and topography. Geospatial information technology can sup-port proper preparation and emergency responses against disasters by individuals and local communities through hazard mapping and other information services using mobile devices. Thus, geospatial information technology is playing a more vital role on all stages of disaster risk management and responses. In acknowledging geospatial information’s vital role in disaster risk reduction, the Sendai Framework for Disaster Risk Reduction 2015&ndash;2030, adopted at the Third United Nations World Conference on Disaster Risk Reduction, repeatedly reveals the importance of utilizing geospatial information technology for disaster risk reduction. This presentation aims to report the recent practical applications of geospatial information technology for disaster risk management and responses.
50
Selvarajan, Sowmya, Ahmed Mohamed, Timothy White, and Natalie Boodram. "Assessment of Geospatial Technologies for Natural Resource Management in Florida." Journal of Forestry 107, no. 5 (July 1, 2009): 242–49. http://dx.doi.org/10.1093/jof/107.5.242.
Abstract:
Abstract At a time when growing populations are taxing the earth's resources as never before, natural resource managers and users are discovering the power of geospatial technologies. These evolving technologies, once expensive and exclusive to domains of researchers and scientists, are now the choice of local, state, and national resource managers around the globe. This research presents the results of a preliminary survey of benefits and limitations of geospatial technologies for natural resources applications in the state of Florida. The survey was sent to users and producers of relevant geospatial technologies applicable to natural resource management. Results from 134 respondents show that 98% of the organizations surveyed still conduct field surveys for data collection, monitoring, and inventories, while 88% of those organizations develop maps to summarize and visualize their data. Approximately 87% of the surveyed organizations use one or many types of geospatial technologies to collect, visualize, integrate, or interpret their information about natural resources with the most common technologies being aerial imagery, geographic information systems, and global positioning systems, followed by topographic maps and satellite imagery. However, there were also some available technologies in which their capabilities were little known or appreciated by these organizations such as terrestrial light detection and ranging and integrated mapping technology. These results will serve as a source of information regarding how geospatial technologies are used in Florida and their current real or perceived limitations. The study is also important for educational institutions and producers to provide appropriate training for basic technologies and to encourage users to integrate the latest and cost-effective geospatial technologies efficiently.