Journal articles on the topic 'Geospatial Information (GI)'
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1
Cullis, Brian J., and David F. LaBranche. "Applying Geospatial Information and Services Capabilities Beyond the Battlespace." International Journal of Applied Geospatial Research 7, no. 4 (October 2016): 64–76. http://dx.doi.org/10.4018/ijagr.2016100106.
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While geospatial information resources have traditionally imparted situational awareness in the battlespace, the past twenty years has witnessed broad adoption in other defense environments as well. This paper describes the major catalysts spurring broader investment and use of geospatial information and services (GI&S) beyond the battlespace and into a parallel defense installation mission area known as basingspace. Furthermore, the paper details how the benefits of GI&S for delivering shared situational awareness in both battlespace and basingspace has the National Guard poised to exploit geospatial technologies in a more strategic manner. This paper presents a concise history of how social and technical factors influenced the diffusion of applied geospatial technologies within the defense sector and the potential for greater unity of geospatial efforts for the Department of Defense and the nation.
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Richta, Tomáš, and Martin Hrubý. "Dynamic object-oriented geospatial modeling." Geoinformatics FCE CTU 4 (February 1, 2009): 29–44. http://dx.doi.org/10.14311/gi.4.2.
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Published literature about moving objects (MO) simplifies the problem to the representation and storage of moving points, moving lines, or moving regions. The main insufficiency of this approach is lack of MO inner structure and dynamics modeling – the autonomy of moving agent. This paper describes basics of the object-oriented geospatial methodology for modeling complex systems consisting of agents, which move within spatial environment. The main idea is that during the agent movement, different kinds of connections with other moving or stationary objects are established or disposed, based on some spatial constraint satisfaction or nonfulfilment respectively. The methodology is constructed with regard to following two main conditions – 1) the inner behavior of agents should be represented by any formalism, e.g. Petri net, finite state machine, etc., and 2) the spatial characteristic of environment should be supplied by any information system, that is able to store defined set of spatial types, and support defined set of spatial operations. Finally, the methodology is demonstrated on simple simulation model of tram transportation system.
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Cetl, V., T. Kliment, and M. Kliment. "BORDERLESS GEOSPATIAL WEB (BOLEGWEB)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 677–82. http://dx.doi.org/10.5194/isprs-archives-xli-b4-677-2016.
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The effective access and use of geospatial information (GI) resources acquires a critical value of importance in modern knowledge based society. Standard web services defined by Open Geospatial Consortium (OGC) are frequently used within the implementations of spatial data infrastructures (SDIs) to facilitate discovery and use of geospatial data. This data is stored in databases located in a layer, called the invisible web, thus are ignored by search engines. SDI uses a catalogue (discovery) service for the web as a gateway to the GI world through the metadata defined by ISO standards, which are structurally diverse to OGC metadata. Therefore, a crosswalk needs to be implemented to bridge the OGC resources discovered on mainstream web with those documented by metadata in an SDI to enrich its information extent. A public global wide and user friendly portal of OGC resources available on the web ensures and enhances the use of GI within a multidisciplinary context and bridges the geospatial web from the end-user perspective, thus opens its borders to everybody. <br><br> Project “Crosswalking the layers of geospatial information resources to enable a borderless geospatial web” with the acronym BOLEGWEB is ongoing as a postdoctoral research project at the Faculty of Geodesy, University of Zagreb in Croatia (http://bolegweb.geof.unizg.hr/). The research leading to the results of the project has received funding from the European Union Seventh Framework Programme (FP7 2007-2013) under Marie Curie FP7-PEOPLE-2011-COFUND. The project started in the November 2014 and is planned to be finished by the end of 2016. This paper provides an overview of the project, research questions and methodology, so far achieved results and future steps.
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Oh, Kwan-Young, and Moung-Jin Lee. "Research Trend Analysis of Geospatial Information in South Korea Using Text-Mining Technology." Journal of Sensors 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/2765256.
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The purpose of this study was to analyze geospatial information (GI) research trends using text-mining techniques. Data were collected from 869 papers found in the Korea Citation Index (KCI) database (DB). Keywords extracted from these papers were classified into 13 GI domains and 13 research domains. We conducted basic statistical analyses (e.g., frequency and time series analyses) and network analyses, using such measures as frequency, degree, closeness centrality, and betweenness centrality, on the resulting domains. We subdivided the most frequent GI domain for more detailed analysis. Such processes permit an analysis of the relationships between the Research Fields associated with each GI. Our time series analysis found that the Climate and Satellite Image domain frequencies continuously increased. Satellite Image, General-Purpose Map, and Natural Disaster Map in the GI domain and Climate and Natural Disaster in the Research Field domain appeared in the center of the GI-Research Field network. We subdivided the Satellite Image domain for detailed analysis. As a result, LANDSAT, KOMPSAT, and MODIS displayed high scores on the frequency, degree, closeness centrality, and betweenness centrality indices. These results will be useful in GI-based interdisciplinary research and the selection of new research themes.
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Cetl, V., T. Kliment, and M. Kliment. "BORDERLESS GEOSPATIAL WEB (BOLEGWEB)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 677–82. http://dx.doi.org/10.5194/isprsarchives-xli-b4-677-2016.
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The effective access and use of geospatial information (GI) resources acquires a critical value of importance in modern knowledge based society. Standard web services defined by Open Geospatial Consortium (OGC) are frequently used within the implementations of spatial data infrastructures (SDIs) to facilitate discovery and use of geospatial data. This data is stored in databases located in a layer, called the invisible web, thus are ignored by search engines. SDI uses a catalogue (discovery) service for the web as a gateway to the GI world through the metadata defined by ISO standards, which are structurally diverse to OGC metadata. Therefore, a crosswalk needs to be implemented to bridge the OGC resources discovered on mainstream web with those documented by metadata in an SDI to enrich its information extent. A public global wide and user friendly portal of OGC resources available on the web ensures and enhances the use of GI within a multidisciplinary context and bridges the geospatial web from the end-user perspective, thus opens its borders to everybody. <br><br> Project “Crosswalking the layers of geospatial information resources to enable a borderless geospatial web” with the acronym BOLEGWEB is ongoing as a postdoctoral research project at the Faculty of Geodesy, University of Zagreb in Croatia (http://bolegweb.geof.unizg.hr/). The research leading to the results of the project has received funding from the European Union Seventh Framework Programme (FP7 2007-2013) under Marie Curie FP7-PEOPLE-2011-COFUND. The project started in the November 2014 and is planned to be finished by the end of 2016. This paper provides an overview of the project, research questions and methodology, so far achieved results and future steps.
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Remondino, Fabio, Alessandro Rizzi, Belen Jimenez, Giorgio Agugiaro, Giorgio Baratti, and Raffaele De Amicis. "The Etruscans in 3D: From Space to Underground." Geoinformatics FCE CTU 6 (December 21, 2011): 283–90. http://dx.doi.org/10.14311/gi.6.35.
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eomatics and Geoinformatics deal with spatial and geographic information, 3D surveying and modeling as well as information science infrastructures. Geomatics and Geoinformatics are thus involved in cartography, mapping, photogrammetry, remote sensing, laser scanning, Geographic Information Systems (GIS), Global Navigation Satellite Systems (GNSS), geo-visualisation, geospatial data analysis and Cultural Heritage documentation. In particular the Cultural Heritage field can largely benefit from different Information and Communication Technologies (ICT) tools to make digital heritage information more informative for documentation and conservation issues, archaeological analyses or virtual museums. This work presents the 3D surveying and modeling of different Etruscan heritage sites with their underground frescoed tombs dating back to VII-IV century B.C.. The recorded and processed 3D data are used, beside digital conservation, preservation, transmission to future generations and studies purposes, to create digital contents for virtual visits, museum exhibitions, better access and communication of the heritage information, etc.
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Zhuang, Can, Zhong Xie, Kai Ma, Mingqiang Guo, and Liang Wu. "A Task-Oriented Knowledge Base for Geospatial Problem-Solving." ISPRS International Journal of Geo-Information 7, no. 11 (October 31, 2018): 423. http://dx.doi.org/10.3390/ijgi7110423.
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In recent years, the rapid development of cloud computing and web technologies has led to a significant advancement to chain geospatial information services (GI services) in order to solve complex geospatial problems. However, the construction of a problem-solving workflow requires considerable expertise for end-users. Currently, few studies design a knowledge base to capture and share geospatial problem-solving knowledge. This paper abstracts a geospatial problem as a task that can be further decomposed into multiple subtasks. The task distinguishes three distinct granularities: Geooperator, Atomic Task, and Composite Task. A task model is presented to define the outline of problem solution at a conceptual level that closely reflects the processes for problem-solving. A task-oriented knowledge base that leverages an ontology-based approach is built to capture and share task knowledge. This knowledge base provides the potential for reusing task knowledge when faced with a similar problem. Conclusively, the details of implementation are described through using a meteorological early-warning analysis as an example.
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Can, R., S. Kocaman, and A. O. Ok. "A WEBGIS FRAMEWORK FOR SEMI-AUTOMATED GEODATABASE UPDATING ASSISTED BY DEEP LEARNING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2021 (June 30, 2021): 13–19. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2021-13-2021.
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Abstract. The automation of geoinformation (GI) collection and interpretation has been a fundamental goal for many researchers. The developments in various sensors, platforms, and algorithms have been contributing to the achievement of this goal. In addition, the contributions of citizen science (CitSci) and volunteered geographical information (VGI) concepts have become evident and extensive for the geodata collection and interpretation in the era where information has the utmost importance to solve societal and environmental problems. The web- and mobile-based Geographical Information Systems (GIS) have facilitated the broad and frequent use of GI by people from any background, thanks to the accessibility and the simplicity of the platforms. On the other hand, the increased use of GI also yielded a great increment in the demand for GI in different application areas. Thus, new algorithms and platforms allowing human intervention are immensely required for semi-automatic GI extraction to increase the accuracy. By integrating the novel artificial intelligence (AI) methods including deep learning (DL) algorithms on WebGIS interfaces, this task can be achieved. Thus, volunteers with limited knowledge on GIS software can be supported to perform accurate processing and to make guided decisions. In this study, a web-based geospatial AI (GeoAI) platform was developed for map updating by using the image processing results obtained from a DL algorithm to assist volunteers. The platform includes vector drawing and editing capabilities and employs a spatial database management system to store the final maps. The system is flexible and can utilise various DL methods in the image segmentation.
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Minghini, M., M. A. Brovelli, D. Vandenbroucke, M. Carbonaro, S. Prüller, M. Painho, G. Martirano, and D. Frigne. "FOSS4G AS A KEY BUILDING BLOCK FOR CASE-BASED LEARNING IN GEOGRAPHIC INFORMATION EDUCATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W2 (July 5, 2017): 129–35. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w2-129-2017.
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In the sector of Geographic Information (GI) there is a gap between the education and training currently being offered by European universities and the knowledge and skills required by enterprises and public authorities. New forms of collaboration based on innovative methods are needed to cope with the challenges derived from the fast technological developments in the geospatial and ICT field. This paper presents the approach and the first findings of the EU Erasmus+ project giCASES – Creating a University-Enterprise Alliance for a Spatially Enabled Society (2016–2018) which addresses this challenge by introducing new methods for case-based and collaborative learning, and for the co-creation, management and sharing of knowledge between universities and enterprises. The aim of the project is to develop new training material and create innovative, multi-disciplinary learning processes based on real-world case studies (case-based learning). The paper focuses on the methodological approach developed during the first half of the project, and presents the 6 case studies where this approach will be tested during the second half. Despite the diversity of application domains (indoor mapping, environmental hazards, e-Government, utility networks, energy saving policies, and forestry), the case studies are all relevant to open source software and FOSS4G technologies will play a key role in their implementation, thus demonstrating their matureness and flexibility not only as GI teaching tools at the universities, but also as powerful means to develop innovative new services at the companies.
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Permatasari, Afrinia Lisditya, Ika Afianita Suherningtyas, and Putu Perdana Kusuma Wiguna. "Kesiapan infrastruktur data spasial sebagai upaya mitigasi banjir lahar di kali putih Kabupaten Magelang Jawa Tengah." Jurnal Pendidikan Geografi 26, no. 1 (January 30, 2021): 15–29. http://dx.doi.org/10.17977/um017v26i12021p015.
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Availability of Spatial Data Infrastructure (SDI) has an important role in disaster management. The purpose of this research is to analyze the readiness of the Spatial Data Infrastructure (IDS) as an effort to mitigate the lava flood in Kali Putih, Magelang Regency, Central Java. The research method was carried out by interview, survey and secondary data collection and SWOT analysis. The results of the SWOT analysis, on the Strength-Opportunity matrix, conclude that the optimization of Spatial Data Infrastructure (IDS) and the Indonesian National Standard (SNI) in the field of Geospatial Information (IG). The Strenght-Threath analysis concludes the need to use quality spatial data for government agencies. Opportunity - Weakness analysis concludes that there is a need for Web GIS development and the need to improve the quality of GI and the quality of human resources in the field of GI. Threat-Weakness analysis resulted in a conclusion, namely the need to refer to the one map and one data policy as well as the ID and SDI field policies.
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Christou, G., A. Georgiou, E. Christodoulou, M. Tziakouri, C. Christodoulou, S. Kasinopoulou, C. G. Panayiotou, and A. Savva. "DESIGN AND DEVELOPMENT OF A GIS-BASED PLATFORM USING OPEN SOURCE COMPONENTS FOR MONITORING, MAINTENANCE AND MANAGEMENT OF ROAD NETWORK: THE CASE STUDY OF CYPRUS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (August 19, 2021): 37–42. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-37-2021.
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Abstract. Road transport is an important infrastructure system that has a vital role in economic progress, sustainable development, and urban prosperity of societies. Thus, geospatial fundamentals of transport systems need to be adequately considered by the organizations that manage such infrastructures. Furthermore, the adoption of methodologies for monitoring, control and optimisation of transportation networks, from a geographical perspective is crucial to deploy or utilize resources efficiently and cost-effectively. This paper aims to describe the implementation of a complete Geographical Information (GI) based system as developed for the needs of the Cyprus road transport infrastructure. The paper focuses on the system architecture and the presentation of the desktop and mobile application interfaces and utilities. The GI-based system provides a good example of how different tools and open-source components can be integrated to provide a complete solution for collecting, storing, managing, analysing and disseminating geographical information data related to road network infrastructure. The use of the platform within the organization has resulted in a noticeable increase in productivity and accountability. The errors in data collection, analysis and storage were minimized and thus the quality of available data been significantly improved. This is a step towards the achievement of the goals of the European Digital Strategy by using Geographical Information System technologies to take reliable and accurate decisions related to road network monitoring, maintenance and management.
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Bornmann, Lutz, and Felix de Moya Angeon. "Hot and cold spots in the US research: A spatial analysis of bibliometric data on the institutional level." Journal of Information Science 45, no. 1 (June 12, 2018): 84–91. http://dx.doi.org/10.1177/0165551518782829.
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Spatial bibliometrics addresses the spatial aspects of scientific research activities. In this case study, we use the Getis–Ord G∗ i ( d) statistic for bibliometric data on US institutions to identify hot spots of institutions on a map publishing many high-impact papers. The study is based on a dataset with performance data (proportion and number of papers belonging to the 10% most frequently cited papers) and geo-coordinates for all institutions in the United States from the SCImago group (and Scopus). The Getis-Ord Gi* statistic returns, for each institution on a map, a z score. Higher z scores point to intense clustering of institutions, which have published a large proportion or number of highly cited papers (hot spots). The US maps, which we generate as examples in this study, point to four regions. These regions can be labelled as hot spots: around San Francisco, Los Angeles, Boston and Washington, DC. The empirical focus on institutional hot spots in a country using bibliometric data is of specific importance for science policy, because geospatial proximity is shown as an important factor for innovation processes.
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Gulyamova, Lola, and Dilshod Rakhmonov. "Open Data for web-mapping the dynamic of population of Uzbekistan." InterCarto. InterGIS 27, no. 4 (2021): 388–401. http://dx.doi.org/10.35595/2414-9179-2021-4-27-388-401.
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This paper covers issues related to using Open Data for web mapping of the dynamic of population of Uzbekistan. Several ways are suggested for performing an analysis of patterns of dynamic of population. The web mapping is recommended as the preferable way for study the spatial distribution of the population and its change. The methods are described from the perspective of their relevance to the technical and conceptual development of interactive dynamic maps. The Open sources that are maintained by state agencies, committees, private companies and other institutions are used for web mapping. The peculiarities of development of Open Data in this country are analyzed with the purpose of applying geoinformation technologies for capturing geospatial information (GI). The model has been developed for using web mapping tools for combining ICT, GIS, interactive cartography and socio-economic data for retrieving GI from existing open resources. Some tools are suggested to bring together Open Data of different official sources by means of Geographical Information Systems. The model of web service is used for uploading map data to a cloud account, while cloud service handles all server-side. ArcGIS Online and other open software are applied for interactive mapping. The interaction with datasets for online mapping and spatial analysis is performed with the help of the cloud service of ArcGIS Online
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Yahya, Mohd Sahrul Syukri BIN, Edie Ezwan Mohd Safian, and Burhaida Burhan. "Spatial Pattern and Hotspots of Urban Rail Public Transport to Public Access Using Geospatial Techniques in Selangor, Malaysia." Malaysian Journal of Social Sciences and Humanities (MJSSH) 6, no. 1 (January 6, 2021): 234–44. http://dx.doi.org/10.47405/mjssh.v6i1.634.
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Currently, the trends in urban public transport have been changing over the years in developing countries for mobilization and accessibility development. Urban public transportation systems are the most popular in Selangor State, including big cities such as the Klang Valley Region. Objective measures of spatial pattern and hotspots have been used to understand how urban public transport development relate to open access. This method relies on specific spatial information and available web-based tool that shows the pattern primarily based on given vicinity and statistics connectivity. To date, several studies have finished tested in developed countries. In this study, we use Geographic Information Systems to analyse and consider hotspots identification precisely and efficaciously. Therefore, in this paper, we focus on two types of point sample evaluations – Gi* hot spot and point density analysis evaluation as statistical operations. Public rail transport was evaluated as a validation to describe the percentage of distribution of open access. The final result, GIS mapping capabilities to show that GIS's technology offers to the variation of urban public transport relate to public services, is to create maps and spatial interpretations.
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Vyas, Anjana, and Gerhard König. "E-LEARNING IN PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 45–52. http://dx.doi.org/10.5194/isprs-archives-xli-b6-45-2016.
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Science and technology are evolving leaps and bounds. The advancements in GI-Science for natural and built environment helps in improving the quality of life. Learning through education and training needs to be at par with those advancements, which plays a vital role in utilization of technology. New technologies that creates new opportunities have enabled Geomatics to broaden the horizon (skills and competencies). Government policies and decisions support the use of geospatial science in various sectors of governance. Mapping, Land management, Urban planning, Environmental planning, Industrialization are some of the areas where the geomatics has become a baseline for decision making at national level. There is a need to bridge the gap between developments in geospatial science and its utilization and implementation. To prepare a framework for standardisation it is important to understand the theories of education and prevailing practices, with articulate goals exploring variety of teaching techniques. <br><br> E-Learning is an erudition practice shaped for facilitating learning and improving performance by creating, using and managing appropriate technological processes and resources through digital and network-enabled technology. It is a shift from traditional education or training to ICT-based flexible and collaborative learning based on the community of learners, academia, professionals, experts and facilitators. Developments in e-learning is focussed on computer assisted learning which has become popular because of its potential for providing more flexible access to content and instruction at any time, from any place (Means et al, 2009). With the advent of the geo-spatial technology, fast development in the software and hardware, the demand for skilled manpower is increasing and the need is for training, education, research and dissemination. It suggests inter-organisational cooperation between academia, industry, government and international collaboration. There is a nascent need to adopt multi-specialisation approach to examine the issues and challenges of research in such a valued topic of education and training in multi-disciplinary areas. Learning involve a change in an individual's knowledge, ability to perform a skill, participate and communicate. There is considerable variation among the theories about the nature of this change. This paper derives from a scientific research grant received from ISPRS, reveals a summary result from assessing various theories and methods of evaluation of learning through education, system and structure of it for GeoInformatics.
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Vyas, Anjana, and Gerhard König. "E-LEARNING IN PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 45–52. http://dx.doi.org/10.5194/isprsarchives-xli-b6-45-2016.
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Science and technology are evolving leaps and bounds. The advancements in GI-Science for natural and built environment helps in improving the quality of life. Learning through education and training needs to be at par with those advancements, which plays a vital role in utilization of technology. New technologies that creates new opportunities have enabled Geomatics to broaden the horizon (skills and competencies). Government policies and decisions support the use of geospatial science in various sectors of governance. Mapping, Land management, Urban planning, Environmental planning, Industrialization are some of the areas where the geomatics has become a baseline for decision making at national level. There is a need to bridge the gap between developments in geospatial science and its utilization and implementation. To prepare a framework for standardisation it is important to understand the theories of education and prevailing practices, with articulate goals exploring variety of teaching techniques. <br><br> E-Learning is an erudition practice shaped for facilitating learning and improving performance by creating, using and managing appropriate technological processes and resources through digital and network-enabled technology. It is a shift from traditional education or training to ICT-based flexible and collaborative learning based on the community of learners, academia, professionals, experts and facilitators. Developments in e-learning is focussed on computer assisted learning which has become popular because of its potential for providing more flexible access to content and instruction at any time, from any place (Means et al, 2009). With the advent of the geo-spatial technology, fast development in the software and hardware, the demand for skilled manpower is increasing and the need is for training, education, research and dissemination. It suggests inter-organisational cooperation between academia, industry, government and international collaboration. There is a nascent need to adopt multi-specialisation approach to examine the issues and challenges of research in such a valued topic of education and training in multi-disciplinary areas. Learning involve a change in an individual's knowledge, ability to perform a skill, participate and communicate. There is considerable variation among the theories about the nature of this change. This paper derives from a scientific research grant received from ISPRS, reveals a summary result from assessing various theories and methods of evaluation of learning through education, system and structure of it for GeoInformatics.
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Ahmad, Arif, Khandaker Hossain, and Mallik Hossain. "Identification of Urban Traffic Accident Hotspot Zones Using GIS: A Case Study of Dhaka Metropolitan Area." Journal of Geographical Studies 3, no. 1 (April 4, 2020): 36–42. http://dx.doi.org/10.21523/gcj5.19030104.
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The issue of traffic safety becomes increasingly prominent and has attracted widespread attention from researchers and policy makers. Dhaka, the capital of Bangladesh, is the most vulnerable city both in terms of total number of accidents and accident rates. GIS technology has been widely applied to urban traffic information and safety management. This paper presents a geospatial analysis to identify the road traffic accident (RTA) hotspot zones in Dhaka Metropolitan Area (DMA). ‘Spatial analysis’ and ‘spatial statistics tools’ are used to examine spatial patterns of accident data. A systematic comparison of identified hotspot zones using Local Moran’s-I Statistic, Getis-Ord Gi* statistic and Kernel Density Estimation (KDE) carried out to examine spatial patterns of high cluster of traffic accidents. These analyses revealed a total 22 hotspot zones in DMA during the years 2010-2012. This kind of research would help generating new parameters for reducing road traffic accidents in Dhaka Metropolitan Area.
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Brakefield, Whitney S., Olufunto A. Olusanya, and Arash Shaban-Nejad. "Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach." JMIR Public Health and Surveillance 8, no. 8 (August 9, 2022): e37039. http://dx.doi.org/10.2196/37039.
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Background Obesity is a global epidemic causing at least 2.8 million deaths per year. This complex disease is associated with significant socioeconomic burden, reduced work productivity, unemployment, and other social determinants of health (SDOH) disparities. Objective The objective of this study was to investigate the effects of SDOH on obesity prevalence among adults in Shelby County, Tennessee, the United States, using a geospatial machine learning approach. Methods Obesity prevalence was obtained from the publicly available 500 Cities database of Centers for Disease Control and Prevention, and SDOH indicators were extracted from the US census and the US Department of Agriculture. We examined the geographic distributions of obesity prevalence patterns, using Getis-Ord Gi* statistics and calibrated multiple models to study the association between SDOH and adult obesity. Unsupervised machine learning was used to conduct grouping analysis to investigate the distribution of obesity prevalence and associated SDOH indicators. Results Results depicted a high percentage of neighborhoods experiencing high adult obesity prevalence within Shelby County. In the census tract, the median household income, as well as the percentage of individuals who were Black, home renters, living below the poverty level, 55 years or older, unmarried, and uninsured, had a significant association with adult obesity prevalence. The grouping analysis revealed disparities in obesity prevalence among disadvantaged neighborhoods. Conclusions More research is needed to examine links between geographical location, SDOH, and chronic diseases. The findings of this study, which depict a significantly higher prevalence of obesity within disadvantaged neighborhoods, and other geospatial information can be leveraged to offer valuable insights, informing health decision-making and interventions that mitigate risk factors of increasing obesity prevalence.
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Gupta, S., H. Karnatak, and P. L. N. Raju. "Geo-Informatics in India: Major Milestones and Present Scenario." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 111–21. http://dx.doi.org/10.5194/isprs-archives-xli-b6-111-2016.
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Geo-informatics has emerged globally as a useful tool to address spatial problems with significant societal implications that require integrative and innovative approaches for analysis, modelling, managing, and archiving of extensive and diverse data sets. Breakneck technological development and availability of satellite based data and information services in public domain along with real time geo-data n through participatory approaches, in the two last decades have led to a sea-change in our know-how of our natural resources and their effective management at various levels. It has led to a realization that every phenomena and requirement in our day to day life has some spatial, or geographic component that can be predicted and governed more effectively through geoinformatics tool. India also has come a long way in effective utilization of geoinformatics for various applications. This quantum leap owes its foundation in a humble beginning about half century back and almost parallel developments in the country’s space programme to a current level where it touches almost all areas of life and living. Though geoinformatics technology (GIT) is believed to reach satisfactory level in the country, Indian geospatial community faces critical challenges with respect to research, education and training along with enhanced the access to the stakeholders and mobilization of the workforce, that are crucial in further penetration of this technology in context to India’s development. In this paper we have critically reviewed milestones of GI development and its current utilization status in Indian context.
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Gupta, S., H. Karnatak, and P. L. N. Raju. "Geo-Informatics in India: Major Milestones and Present Scenario." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 111–21. http://dx.doi.org/10.5194/isprsarchives-xli-b6-111-2016.
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Geo-informatics has emerged globally as a useful tool to address spatial problems with significant societal implications that require integrative and innovative approaches for analysis, modelling, managing, and archiving of extensive and diverse data sets. Breakneck technological development and availability of satellite based data and information services in public domain along with real time geo-data n through participatory approaches, in the two last decades have led to a sea-change in our know-how of our natural resources and their effective management at various levels. It has led to a realization that every phenomena and requirement in our day to day life has some spatial, or geographic component that can be predicted and governed more effectively through geoinformatics tool. India also has come a long way in effective utilization of geoinformatics for various applications. This quantum leap owes its foundation in a humble beginning about half century back and almost parallel developments in the country’s space programme to a current level where it touches almost all areas of life and living. Though geoinformatics technology (GIT) is believed to reach satisfactory level in the country, Indian geospatial community faces critical challenges with respect to research, education and training along with enhanced the access to the stakeholders and mobilization of the workforce, that are crucial in further penetration of this technology in context to India’s development. In this paper we have critically reviewed milestones of GI development and its current utilization status in Indian context.
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Nativi, S., P. Mazzetti, M. Santoro, E. Boldrini, G. M. R. Manzella, and D. M. A. Schaap. "CDI/THREDDS interoperability in the SeaDataNet framework." Advances in Geosciences 28 (September 27, 2010): 17–27. http://dx.doi.org/10.5194/adgeo-28-17-2010.
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Abstract. SeaDataNet is an EU funded project aiming to create and operate a pan-European, marine data infrastructure for managing the large and diverse datasets (i.e. temperature, salinity current, sea level, chemical, physical and biological properties) collected by the oceanographic fleets and the new automatic observation systems. In order to make the SeaDataNet system compliant with the INSPIRE Implementing Rules for discovery service, an ISO 19139 encoding of the SeaDataNet Common Data Index (CDI) metadata model was defined. Moreover, the problem of heterogeneous data sources has been addressed. In fact, a widely used system of SeaDataNet partners and oceanographic-marine community is THREDDS/OPeNDAP; this raises up the problem of federating into SeaDataNet framework THREDDS/OPeNDAP systems as well. In this paper we describe an interoperability framework to access resources (i.e. data and services) that are available through CDI and THREDDS/OPeNDAP services. The proposed solution implements a common catalog interface to discover and access the two heterogeneous resources in a common way. This catalog service is fully distributed and implements international standards as far as geospatial information discovery and query are concerned. The developed solution is called GI-cat and was experimented in the framework of the SeaDataNet European project.
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Gomarasca, M. A., A. Tornato, D. Spizzichino, E. Valentini, A. Taramelli, G. Satalino, M. Vincini, et al. "SENTINEL FOR APPLICATIONS IN AGRICULTURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 91–98. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-91-2019.
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<p><strong>Abstract.</strong> The European Union and the European Space Agency (EU/ESA) have promoted since 1998 (Baveno Manifesto*) the GMES Programme (Global Monitoring for Environment and Security), nowadays called Copernicus (www.copernicus.eu). In the agriculture domain, the use of Copernicus Sentinel imagery and its services are providing several new opportunities. The knowledge of fundamentals of Earth Observation/Geographic Information EO/GI, namely Geomatics, for the development of innovative strategies for professional skills adequacy and capacity building, supporting Copernicus user uptake, becomes mandatory (Gomarasca, 2009). The target is to help bridging gaps between supply and demand of education and training for geospatial sector (www.eo4geo.eu). The innovative and strategical novelties are the complete free access to Sentinel time series imagery and digital image processing software “Sentinel toolboxes” such as SNAP (Sentinel Application Platform) for different environments (Windows, Mac, Unix). The paper introduce topics as crop mapping and monitoring, biophysical parameters, phenology and yield estimations, through several concluded or ongoing international projects such as: ERMES -FP7 (http://www.ermes-fp7space.eu/it/homepage/, Busetto et al. 2017) and SATURNO (https://www.progettosaturno.it/, Nutini et al., 2018) devoted to the regional agricultural monitoring. As conclusion, SNAP software for image processing of Sentinel data was demonstrated and tested together with Earth Engine software for specific vertical agriculture applications. The topics reported in this paper have been part of the Summer School ‘Sentinel for Applications in Agriculture’ supported by the Copernicus programme, several scientific associations (AIT, ASITA, EARSeL - European Association of Remote Sensing Laboratories), the European Erasmus+ project EO4GEO, University Departments and Geo-Information Companies.</p>
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Bill, Ralf, Jörg Blankenbach, Martin Breunig, Jan-Henrik Haunert, Christian Heipke, Stefan Herle, Hans-Gerd Maas, et al. "Geospatial Information Research: State of the Art, Case Studies and Future Perspectives." PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, September 19, 2022. http://dx.doi.org/10.1007/s41064-022-00217-9.
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AbstractGeospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it focuses on developing and adapting information technologies to understand processes on the Earth and human-place interactions, to detect and predict trends and patterns in the observed data, and to support decision making. The authors – members of DGK, the Geoinformatics division, as part of the Committee on Geodesy of the Bavarian Academy of Sciences and Humanities, representing geodetic research and university teaching in Germany – have prepared this paper as a means to point out future research questions and directions in geospatial information science. For the different facets of geospatial information science, the state of art is presented and underlined with mostly own case studies. The paper thus illustrates which contributions the German GI community makes and which research perspectives arise in geospatial information science. The paper further demonstrates that GI science, with its expertise in data acquisition and interpretation, information modeling and management, integration, decision support, visualization, and dissemination, can help solve many of the grand challenges facing society today and in the future.
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Jakimavičius, Marius. "Analysis and Assessment of Lithuanian Road Accidents by AHP Method." Baltic Journal of Road and Bridge Engineering 13, no. 3 (September 28, 2018). http://dx.doi.org/10.7250/bjrbe.2018-13.414.
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Lithuanian road accidents were evaluated based on the geographic information systems and multi-criteria method of Analytical Hierarchy Process This paper presents the methodology for selecting and ranking high accident concentration sections on the roads of national significance. Methodology involves the following process phases: 1) preparation of spatial data of the road accidents; 2) estimation of road sections with a high accident rate; 3) calculation of spatial statistics for estimation of accident points and hot spots; 4) selecting indicators for multi-criteria assessment; 5) calculation by Analytical Hierarchy Process method and ranking the selected high accident concentration sections. Assessment of spatial clustering of accidents and hot spots was carried out following geo-information technologies and using Getis-Ord Gi statistics and point density functions. This geospatial criterion was integrated into multicriteria assessment for ranking the high accident concentration sections by using the Analytical Hierarchy Process method. Presented method is useful for various agencies in order to improve their planning and management strategies for better traffic conditions as well as to reduce the number of accidents. The result of the research presents selection methodology of dangerous accident section and ranking of the tenth the most dangerous sections involving geographic information systems and Analytical Hierarchy Process method.
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Cuca, Branka, Raffaella Brumana, Daniela Oreni, Giuliana Iannaccone, and Marta Sesana. "Geo-portal as a planning instrument: supporting decision making and fostering market potential of Energy efficiency in buildings." Open Geosciences 6, no. 1 (January 1, 2014). http://dx.doi.org/10.2478/s13533-012-0165-0.
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AbstractSteady technological progress has led to a noticeable advancement in disciplines associated with Earth observation. This has enabled information transition regarding changing scenarios, both natural and urban, to occur in (almost) real time. In particular, the need for integration on a local scale with the wider territorial framework has occurred in analysis and monitoring of built environments over the last few decades. The progress of Geographic Information (GI) science has provided significant advancements when it comes to spatial analysis, while the almost free availability of the internet has ensured a fast and constant exchange of geo-information, even for everyday users’ requirements. Due to its descriptive and semantic nature, geo-spatial information is capable of providing a complete overview of a certain phenomenon and of predicting the implications within the natural, social and economic context. However, in order to integrate geospatial data into decision making processes, it is necessary to provide a specific context, which is well supported by verified data. This paper investigates the potentials of geo-portals as planning instruments developed to share multi-temporal/multi-scale spatial data, responding to specific end-users’ demands in the case of Energy efficiency in Buildings (EeB) across European countries. The case study regards the GeoCluster geo-portal and mapping tool (Project GE2O, FP7), built upon a GeoClustering methodology for mapping of indicators relevant for energy efficiency technologies in the construction sector.
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Acquah, Evelyn, Samuel H. Nyarko, Ebenezer N. K. Boateng, Kwamena Sekyi Dickson, Isaac Yeboah Addo, and David Adzrago. "Spatial and multilevel analysis of unskilled birth attendance in Chad." BMC Public Health 22, no. 1 (August 16, 2022). http://dx.doi.org/10.1186/s12889-022-13972-6.
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Abstract Background Unskilled birth attendance is a major public health concern in Sub-Saharan Africa (SSA). Existing studies are hardly focused on the socio-demographic correlates and geospatial distribution of unskilled birth attendance in Chad (a country in SSA), although the country has consistently been identified as having one of the highest prevalence of maternal and neonatal deaths in the world. This study aimed to analyse the socio-demographic correlates and geospatial distribution of unskilled birth attendance in Chad. Methods The study is based on the latest Demographic and Health Survey (DHS) data for Chad. A total of 10,745 women aged between 15 and 49 years were included in this study. A multilevel analysis based on logistic regression was conducted to estimate associations of respondents’ socio-demographic characteristics with unskilled birth attendance. Geographic Information System (GIS) mapping tools, including Getis-Ord Gi hotspot analysis tool and geographically weighted regression (GWR) tool, were used to explore areas in Chad with a high prevalence of unskilled birth attendance. Results The findings show that unskilled birth attendance was spatially clustered in four Chad departments: Mourtcha, Dar-Tama, Assoungha, and Kimiti, with educational level, occupation, birth desire, birth order, antenatal care, and community literacy identified as the spatial predictors of unskilled birth attendance. Higher educational attainment, higher wealth status, cohabitation, lowest birth order, access to media, not desiring more births, and higher antenatal care visits were associated with lower odds of unskilled birth attendance at the individual level. On the other hand, low community literacy level was associated with higher odds of unskilled birth attendance in Chad whereas the opposite was true for urban residency. Conclusions Unskilled birth attendance is spatially clustered in some parts of Chad, and it is associated with various disadvantaged individual and community level factors. When developing interventions for unskilled birth attendance in Chad, concerned international bodies, the Chad government, maternal health advocates, and private stakeholders should consider targeting the high-risk local areas identified in this study.