Готові списки джерел за темами / Spatial Map

Добірка наукової літератури з теми "Spatial Map"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Spatial Map"

1

Handawati, Rayuna. "PENGEMBANGAN MENTAL MAP DALAM PEMBELAJARAN GEOGRAFI DI SEKOLAH." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 18, no. 2 (November 1, 2018): 84–94. http://dx.doi.org/10.21009/spatial.182.02.

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Mental map sebagai gambaran tentang suatu wilayah dan lingkungannya, yang dikembangkan oleh individu atas dasar pengalaman sehari-hari dari berbagai sumber, antara lain dapat diperoleh melalui pembelajaran di sekolah dari guru dan media. Alat ukur keakuratan mental map seseorang terhadap suatu wilayah adalah mengkonfirmasi atau menerjemahkan dalam peta kartografis. Namun bersama peta kartografis, spektrum mental map peserta didik dapat dikembangkan tidak hanya berupa pengetahuan dan persepsi tentang lokasi geografis dari suatu obyek di permukaan bumi, peserta didik juga dapat melihat hubungan antar fenomena di permukaan bumi, pola, persamaan dan perbedaan hingga interdependensi suatu tempat dengan menerapkan prinsip dan pendekatan geografi. Mental map yang baik dan berkembang akan berguna bagi peserta didik dalam membuat keputusan untuk kepentingan pribadi hingga memberikan solusi kepada masyarakat. Guru berperan mendesain pembelajaran yang dimulai dari perencanaan, pelaksanaan dan evaluasi yang mengembangkan mental map. Setiap pokok bahasan geografi pada mata pelajaran geografi dijelaskan dengan sudut pandang geografi dalam skala lokal, regional dan global. Setiap pokok bahasan geografi di sekolah juga harus menerapkan prinsip maupun pendekatan geografi untuk memaksimalkan mental map peserta didik terhadap lingkungan tempat tinggalnya, negaranya dan internasional sesuai tujuan pembelajaran geografi di sekolah.
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2

Netek, Rostislav, and Jakub Konicek. "Interactive Spatial Visualization of Aggregated Non-spatial Coronavirus Data." Abstracts of the ICA 2 (October 8, 2020): 1–2. http://dx.doi.org/10.5194/ica-abs-2-12-2020.

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Abstract. The article describes the process of aggregation of media-based data about coronavirus pandemic in the Olomouc region, Czech Republic. Originally non-spatially located news from different sources and various platforms (government, social media, news portals) were automatically aggregated into a centralized database. The application “COVID-map” is an interactive web map solution which visualizes records from the database in a spatial way. COVID-map has been developed within Ad hoc online hackathon as an academic project at the Department of Geoinformatics, Palacký University Olomouc, Czech Republic. Alongside spatially localized data, map application collects statistical data from official sources e.g. from the governmental crisis management office.Our approach focuses on cartographical aspects of COVID-map solution. It respects current trends in both development of cartographic oriented outputs and web-based interactive map application. It is fully responsive. Originally, nonspatial data were aggregated, verified, geo-located, and finally visualized in the map environment. The layout combines three main parts: interactive map with spatial data; information panel with updated statistical data; and a sidebar with a filterable list of verified and geo-located news. The main cartographic method used for the visualisation is the choropleth map. It shows the distribution of positively tested people per 10 000 inhabitants for each sub-region. In comparison with similar coronavirus visualisation made during the current pandemic, our solution respects fundamental cartographical rules.Following cartographical topics are discussed in the article: the correct choice of cartographic method and its implementation; determination of a colour scale; recalculation statistics data into relative units by choropleths map method; design of map symbols and legend; searching for a suitable visualization of spatial and non-spatial sources into map layout; discussion on the suitability of using a clustering method.The motivation for this project was both social responsibility and dissatisfaction with the wrong implementation of basic cartographic methods in a variety of alternative solutions. The impact was immediate. Within a few days after the launch, tens of thousands users per day visited the COVID-map. It has been published by regional and national media. The COVID-map solution could be considered as a suitable ad-hoc implementation of the correctly used cartographical method on the example of coronavirus pandemic. The application “COVID-map” is available online at URL: https://gis.upol.cz/covid/mapa/.
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3

Herison, Ahmad, Yuda Romdania, Ahmad Zakaria, and Sandy Kusuma. "Design and Implementation of WebGIS Marine Ecotourism Area, Tegal Island, Lampung Province." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 19, no. 2 (December 31, 2019): 27–43. http://dx.doi.org/10.21009/spatial.192.4.

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Анотація:
Tegal Island has the potential and diversity of marine tourism which is an attraction for tourists. However, information is not yet available that can help tourists in knowing the objects and tourist areas contained in Tegal Island. This research presents tourism information in Tegal Island in the form of a Geographic Information System map. The mapping method is done using Quantum GIS software with the help of the QuickMapServices (QMS) plugin to display Google Earth imagery and the qgis2web plugin to convert QGIS files (.qgz) into web maps (WebGIS) and the presence of tourist index input. The mapping results obtained digitization of each tourist object and facility on Tegal Island in the form of shapefiles (.shp) as well as information displayed on the attribute table layer. WebGIS is used as a media for GIS map renderers that is easily accessed and adjusted according to the JavaScript Leaflet library (open source). Map of Geographic Information Systems makes it easy for people to convey and search for tourist information on Tegal Island.
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4

Cahyono, Ari. "STUDI NAMA GEOGRAFI MELALUI LAYANAN PEMETAAN URUNDAYA DI DESA GIRIPURWO, PURWOSARI, GUNUNGKIDUL D.I. YOGYAKARTA." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 18, no. 2 (November 1, 2018): 105–14. http://dx.doi.org/10.21009/spatial.182.04.

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A geographical name is a name that identify specific feature on the earth. That features could be a settlement, administrative region, natural feature, artificial feature, unbounded region, or virtual region. Under the Law Number 4 of 2011 concerning Geospatial Information, the geographical name is one of the layer that must appear on the base map. The acquisition of geographical names can be facilitated by crowdsourcing map that are conducted by corporations or the public. The objectives of this study are 1) to carry out an inventory of geographic names through crowdsourced maps, and 2) to examine the opportunities and challenges of the study of geographic names in rural areas. We observed data from crowdsourcing maps, e.g., Google Maps, Here Maps, and OpenStreetMaps that cover Giripurwo Village. We used spatial comparison in this research. We also compared its appearances on various mapping scales. A field survey was conducted to get more qualitative information about geographical names and to test the accuracy of maps. The results showed that there were differences between the crowdsource map services in presenting the geographical names at the same scale level. We face constraints in this mapping, i.e. limited accessibility in the entire region and sparsely populated in a karst region. Conversely, the high participation of rural communities is beneficial in this mapping process.
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5

Yufen, Chen. "Map spatial cognition research and spatial information visualization." Journal of Geographical Sciences 11, S1 (December 2001): 79–85. http://dx.doi.org/10.1007/bf02837448.

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6

Bimonte, Sandro, Michela Bertolotto, Jérôme Gensel, and Omar Boussaid. "Spatial OLAP and Map Generalization." International Journal of Data Warehousing and Mining 8, no. 1 (January 2012): 24–51. http://dx.doi.org/10.4018/jdwm.2012010102.

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Map generalization can be used as a central component of Spatial Decision Support Systems to provide a simplified and more readable cartographic visualization of geographic information. Indeed, it supports the user mental process for discovering important and unknown geospatial relations, trends and patterns. Spatial OLAP (SOLAP) integrates spatial data into OLAP and data warehouse systems. SOLAP models and tools are based on the concepts of spatial dimensions and measures that represent the axes and the subjects of the spatio-multidimensional analysis. Although powerful under some respect, current SOLAP models cannot support map generalization capabilities. This paper provides the first effort to integrate Map Generalization and OLAP. Firstly the authors define all modeling and querying requirements to do this integration, and then present a SOLAP model and algebra that support map generalization concepts. The approach extends SOLAP spatial hierarchies introducing multi-association relationships, supports imprecise measures, and it takes into account spatial dimensions constraints generated by multiple map generalization hierarchies.
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7

Castellar, Sonia Maria Vanzella, and Paula Cristiane Strina Juliasz. "Mental map and spatial thinking." Proceedings of the ICA 1 (May 16, 2018): 1–6. http://dx.doi.org/10.5194/ica-proc-1-18-2018.

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The spatial thinking is a central concept in our researches at the Faculty of Education of University of São Paulo (FE-USP). The cartography is fundamental to this kind of thinking, because it contributes to the development of the representation of space. The spatial representations are the drawings – mental maps – maps, chart, aerial photos, satellite images, graphics and diagrams. To think spatially – including the contents and concepts geographical and their representations – also corresponds to reason, defined by the skills the individual develops to understand the structure, function of a space, and describe your organization and relation to other spaces. The aim of this paper is to analyze the role of mental maps in the development of concepts of city and landscape – structuring concepts for school geography. The purpose is to analyze how students in Geography and Pedagogy – future teachers – and young children in Early Childhood Education think, feel, and appropriate these concepts. The analys is indicates the importance of developing mental map in activities with pedagogy and geography graduate student to know that students at school can be producers of maps. Cartography is a language and allows the student to develop the spatial and temporal relationships and notions such as orientation, distance and location, learning the concepts of geographical science. Mental maps present the basic features of the location such as the conditions – the features verified in one place – and the connections that is to understand how this place connects to other places.
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8

Chou, Yue Hong. "Map Resolution and Spatial Autocorrelation." Geographical Analysis 23, no. 3 (September 3, 2010): 228–46. http://dx.doi.org/10.1111/j.1538-4632.1991.tb00236.x.

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9

Purnama, Setyawan, Muh Aris Marfai, Dini Feti Anggraini, and Ahmad Cahyadi. "ESTIMASI RISIKO KERUGIAN EKONOMI AKIBAT BANJIR ROB MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI KECAMATAN PENJARINGAN, JAKARTA UTARA." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 14, no. 2 (September 30, 2015): 8–13. http://dx.doi.org/10.21009/spatial.142.02.

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ABSTRACT As a coastal area, North Jakarta face global climate change i.e sea level rise. This phenomena can cause some negative impact to the usage of the area. The objectives of this research is to estimate economic risk caused rob flood from sea with some scenariosof sea water level. The development of flood rob mapping method incoastal area is carried out by neighbourhood operation in Geograhic Information System (GIS) based raster. Economic risk analysis is carried out by overlay of Flood Hazard Map in some scenarios and Land Use Map in certain economic value.The result of research show that economic risk that caused by flood rob 30 cm high is Rp 424.318.821.500,00. Economic risk with 115 cm flood rob high is 2.934.277.188.000,00, whereas economic risk with 200 cm flood rob high is Rp 4.758.739.166.000,00. High risk area is dominated by business area (67,76%) and reguler settlement (24,66%). Key words : rob flood, neighbourhood operation, North Jakarta
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10

Wiemer, Jan C. "The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals." Neural Computation 15, no. 5 (May 1, 2003): 1143–71. http://dx.doi.org/10.1162/089976603765202695.

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The new time-organized map (TOM) is presented for a better understanding of the self-organization and geometric structure of cortical signal representations. The algorithm extends the common self-organizing map (SOM) from the processing of purely spatial signals to the processing of spatiotemporal signals. The main additional idea of the TOM compared with the SOM is the functionally reasonable transfer of temporal signal distances into spatial signal distances in topographic neural representations. This is achieved by neural dynamics of propagating waves, allowing current and former signals to interact spatiotemporally in the neural network. Within a biologically plausible framework, the TOM algorithm (1) reveals how dynamic neural networks can self-organize to embed spatial signals in temporal context in order to realize functional meaningful invariances, (2) predicts time-organized representational structures in cortical areas representing signals with systematic temporal relation, and (3) suggests that the strength with which signals interact in the cortex determines the type of signal topology realized in topographic maps (e.g., spatially or temporally defined signal topology). Moreover, the TOM algorithm supports the explanation of topographic reorganizations based on time-to-space transformations (Wiemer, Spengler, Joublin, Stagge, & Wacquant, 2000).
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Дисертації з теми "Spatial Map"

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Rodrigues, Renato de Lemos Mendes Severino. "Spatial operators for collaborative map handling." Master's thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/1990.

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MSC Dissertation in Computer Engineering
With recent developments in Web-based Mapping technologies, the use of digital spatial data has become accessible to people that would not originally use this type of data. Moreover, with the widespread availability of online mapping tools, the perfect stage is set for the development of spatial tools to enable collaboration in spatial decision-making. In this dissertation, different approaches to spatial collaboration are examined, both from a conceptual and technical point of view. The analysis of existing efforts into collaboration and spatial decision-making, supported by different techniques, revealed potential for spatial collaboration over the Internet. Before pursuing its implementation, a technological and conceptual study had to be realized, on the needs that distributed users will have, when collaboration spatially. This study supports the choice of spatial operators to facilitate collaboration through space, to compose a distributed work environment developed using currently available online mapping services. The first contribution of this work results from the conceptual approach, and it consists on a generic activity model for public participation to support different types of spatial decisionmaking where the public is involved. Following the definition of the model, a generic collaborative Spatial decision support system was developed, containing the necessary structures to enable the application of the model in different spatial decision making contexts.
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2

Bundy, Geraint Llewellyn. "Automated cartographic generalization with a triangulated spatial model." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/automated-cartographic-generalization-with-a-triangulated-spatial-model(754893a1-faae-4191-9e36-a15854deb36d).html.

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This thesis describes a doctoral project which has addressed some of the problems of automatically performing cartographic generalization in a holistic manner, that is, processing the map features in the context of the whole map rather than individual features in isolation. The approach is based on two key ideas: firstly, that the map surface can be represented by a structure based on simplicial complexes which provides useful relationships for topology and proximity and facilitates many of the fundamental generalization operations. Secondly, that the epistemological structures needed for generalization can be represented by a hierarchy of "context" frames, each of which encapsulate the knowledge required to recognize, generalize and resolve a cartographic situation. A data structure that uses simplicial complexes to represent map objects has been designed and implemented. Each object is described by a set of two-dimensional simplices (triangles) that are maintained in the form of a constrained Delaunay triangulation. This structure gives a fully connected two-dimensional plenum that stores important spatial relationships such as "enclosed", "adjacent" and "between" explicitly. This simplicial data structure (SDS), as it is called, can be used directly to perform several types of operations necessary for automatic generalization, for example, automatic overlap detection, displacement, merging, enlargement, simplification of building outlines and skeletonization. Algorithms for many of these operators have been implemented while others are proposed. Pseudo-code and descriptions are used to document many of these operators, results are given and discussed. A frame-based architecture is proposed which provides a framework for the representation and application of knowledge for generalization. The project was funded by an EPSRC CASE studentship in collaboration with the Ordnance Survey.
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3

Naylor, Susan J. "Spatial context effects on temporal and spatial factors in map memory /." Thesis, Connect to Dissertations & Theses @ Tufts University, 1999.

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Анотація:
Thesis (Ph.D.)--Tufts University, 1999.
Adviser: Holly A. Taylor. Submitted to the Dept. of Psychology. Includes bibliographical references (leaves 59-61). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
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4

Schaad, Raphael. "Visible communities : designing a socio-spatial map." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112545.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 90-96).
This thesis presents a collaborative human-machine crowdmapping approach to creating socio-spatial maps that represent both spatial and social aspects of communities. Our implemented system combines satellite image analytics, a mobile mapping app, and social survey data. The system is designed to provide an end user experience that aligns institutional interests with grassroots interests, resulting in a self-sustaining system. In collaboration with the global health organization Partners in Health, we tested our approach with local health workers in Rwanda. Better maps can improve local visibility and empower communities to share knowledge, trade goods, and access medical services. Assisted by automatically annotated satellite maps, the community-driven mapping resulted in detailed spatial and social maps for four rural villages. With the collected data, we designed a novel socio-spatial map for this community that combines knowledge about household locations, paths, inhabitants of those homes, and social relations between residents. Generalizing from this map, we propose a framework to organize people, places, paths, and relationships to reason about the intersection of social and spatial mapping. Furthermore, we derive design characteristics of our human-machine mapping system that can guide the development of new systems in related contexts. Socio-spatial maps have the potential to be used as critical decision-making tools for individuals and organizations alike.
by Raphael Schaad.
S.M.
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5

Armstrong, Beth Diane. "Hippocampus: seahorse; brain-structure; spatial map; concept." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1002224.

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Through an exploration of both sculptural and thought processes undertaken in making my Masters exhibition, ‘Hippocampus’, I unpack some possibilities, instabilities, and limitations inherent in representation and visual perception. This thesis explores the Hippocampus as image (seahorse) and concept (brain-structure involved in cognitive mapping of space). Looking at Gilles Deleuze’s writings on representation, I will expand on the notion of the map as being that which does not define and fix a structure or meaning, but rather is open, extendable and experimental. I explore the becoming, rather than the being, of image and concept. The emphasis here is on process, non-representation, and fluidity of meaning. This is supportive of my personal affirmation of the practice and process of art-making as research. I will refer to the graphic prints of Maurits Cornelis Escher as a means to elucidate a visual contextualization of my practical work, particularly with regard to the play with two- and three-dimensional space perception. Through precisely calculated ‘experiments’ that show up the partiality of our visual perception of space, Escher alludes to things that either cannot actually exist as spatial objects or do exist, but resist representation. Similarly I will explore how my own sculptures, although existing in space resist a fixed representation and suggest ideas of other spaces, non-spaces; an in-between space that does not pin itself down and become fixed to any particular image, idea, objector representation.
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6

COLUCCIA, EMANUELE. "The Role of Visuo-Spatial Working Memory in map learning." Doctoral thesis, La Sapienza, 2005. http://hdl.handle.net/11573/917263.

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7

Mackaness, William Alfred. "Knowledge-based resolution of spatial conflicts in digital map design." Thesis, Kingston University, 1988. http://eprints.kingston.ac.uk/20517/.

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Previous research has indicated an increasing need for intelligent automated design. The contention of this project is that Artificial Intelligence (A.I.) techniques can be used to mimic the process of map design in cartography. A suitable environment for such a map system is considered. Attention is focused on methods for identifying and resolving conflicts that occur when spatial data are displayed using cartographic techniques. The research attempts to find a suitable mechanism for describing and identifying spatial conflicts and serves to focus attention on exactly what makes good map design. It appears that human judgement of design requires the understanding of the map as a whole and is based on geographical knowledge and an understanding of spatial processes. This is in addition to the knowledge of design and perception of maps. An appropriate method of description enables evaluation and assessment of the graphic. The potential spatial conflicts that can occur in a map, along with possible solutions for resolving those conflicts, are identified. Automated techniques were devised for identifying features in proximity and resolving those clusters by application of cartographic license (localized feature displacement). Following from this the knowledge governing the use of all generalization techniques is identified and explicitly itemized. A suitable taxonomy of rules is investigated and the knowledge implemented in a rule based system called CLARITY. The rules base contains over one hundred rules. The results and evaluation of the implementation, together with suggested further work conclude this project.
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8

Damicis, Adrienne. "A Spatial Risk Map of Malaria in Four African Countries." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555615180322027.

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9

Poplawski, Jaroslaw. "Very low frequency - Magnetic spatial position detection range and map." Thesis, University of Ballarat, 2008. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/40771.

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Анотація:
Automated positioning systems designed to measure three-dimensional locations of objects are of paramount importance to flexible manufacturing applications. These systems should perform in an industrial environment, withstanding obstacles of solid objects and must be immune from external influences including changes in atmospheric conditions and surrounding noise. Automated positioning systems should also be free of mechanical contact and able to perform without having to establish a line-of-sight with the measured object. In this thesis, a novel design is proposed for the spatial measurement of the six degrees of freedom industrial robots and autonomous vehicles. Not only does the proposed system comply with the above characteristics, but it is also capable of achieving better resolutions than CCD cameras, easier to implement, safer than laser devices and more accurate than ultrasound systems.[...]
Doctor of Philosophy
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Poplawski, Jaroslaw. "Very low frequency - Magnetic spatial position detection range and map." University of Ballarat, 2008. http://archimedes.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/15472.

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Анотація:
Automated positioning systems designed to measure three-dimensional locations of objects are of paramount importance to flexible manufacturing applications. These systems should perform in an industrial environment, withstanding obstacles of solid objects and must be immune from external influences including changes in atmospheric conditions and surrounding noise. Automated positioning systems should also be free of mechanical contact and able to perform without having to establish a line-of-sight with the measured object. In this thesis, a novel design is proposed for the spatial measurement of the six degrees of freedom industrial robots and autonomous vehicles. Not only does the proposed system comply with the above characteristics, but it is also capable of achieving better resolutions than CCD cameras, easier to implement, safer than laser devices and more accurate than ultrasound systems.[...]
Doctor of Philosophy in Engineering
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Книги з теми "Spatial Map"

1

Institute, Environmental Systems Research, ed. Map projections: Georeferencing spatial data. Redlands, Calif: ESRI, 1994.

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2

Map projections: Georeferencing spatial data. Redlands, CA: Environmental Systems Research Institute, 1994.

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3

Kaneko, Kunihiko. Theory and applications of coupled map lattices. Chichester: Wiley, 1993.

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4

Berry, Joseph K. Map analysis: Understanding spatial patterns and relationships. San Francisco, CA: GeoTec Media, 2007.

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5

Yan, Haowen, and Jonathan Li. Spatial Similarity Relations in Multi-scale Map Spaces. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09743-5.

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6

Yves, André, ed. Représenter l'espace: L'imaginaire spatial à l'école. Paris: Anthropos, 1989.

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7

Bracken, Ian. Map manager: Intelligent software for the display of spatial information. Cardiff: Wales and South West Regional Research Laboratory, 1987.

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8

Hopfstock, Anja. A user-oriented map design in the SDI environment using the example of a European reference map at medium scale. Frankfurt am Main: Verlag des Bundesamtes für Kartographie und Geodäsie, 2010.

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9

IFLA Malaysian Workshop (1991 Kuala Lumpur). Maps, spatial data and conservation: Proceedings of IFLA Malaysian Workshop, University of Malaya, Kuala Lumpur, 17-21 June 1991. Kuala Lumpur: Library, University of Malaya, 1992.

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10

Association of Research Libraries. Office of Leadership and Management Services., ed. Spatial data collections and services. Washington, D.C: Association of Research Libraries, Office of Leadership and Management Services, 2005.

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Частини книг з теми "Spatial Map"

1

Wolff, Gil. "Heat Map Segmentation." In Spatial Gems, Volume 1, 1–6. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3548732.3548734.

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Hahmann, Torsten, and E. Lynn Usery. "What is in a Contour Map?" In Spatial Information Theory, 375–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23374-1_18.

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Shirabe, Takeshi. "Map Algebraic Characterization of Self-adapting Neighborhoods." In Spatial Information Theory, 280–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03832-7_17.

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Yeung, Heather H. "Interlude 3: The Poetic Map, Vocalized." In Spatial Engagement with Poetry, 71–76. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137478276_7.

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Scholl, Michel, and Agnès Voisard. "Spatial Operations and Map Operations." In Encyclopedia of Database Systems, 1–8. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_359-2.

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Scholl, Michel, and Agnès Voisard. "Spatial Operations and Map Operations." In Encyclopedia of Database Systems, 2719–25. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_359.

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Gautron, Pascal. "Practical Spatial Hash Map Updates." In Ray Tracing Gems II, 659–71. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7185-8_41.

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Scholl, Michel, and Agnès Voisard. "Spatial Operations and Map Operations." In Encyclopedia of Database Systems, 3614–21. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_359.

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Kronenfeld, Barry J. "Gradation and Map Analysis in Area-Class Maps." In Spatial Information Theory, 14–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556114_2.

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Downs, Roger M., and David Stea. "Cognitive Maps and Spatial Behaviour: Process and Products." In The Map Reader, 312–17. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470979587.ch41.

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Тези доповідей конференцій з теми "Spatial Map"

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Liu, Tao, Jing Tang, Qingyun Du, and Zhongjun Zhao. "A design of context-sensitive web map service." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838078.

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Yang, Nai, Qingsheng Guo, and Dayong Shen. "Automatic modeling of cliff symbol in 3D topographic map." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837760.

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Song, Ying, Dongmei Yu, and Chen Shen. "Knowledge acquisition model of map generalization based on granular computing." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838333.

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Yan, Haowen. "Concepts and classification of spatial similarity relations in multi-scale map spaces." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837497.

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Jun, Yang. "Spatial data storage model based on map calculus for online map generalization." In 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM). IEEE, 2011. http://dx.doi.org/10.1109/icsdm.2011.5969032.

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Sun, Fuyan, and Zongwang Lü. "Image encryption using spatial chaotic map." In International Conference on Image Processing and Pattern Recognition in Industrial Engineering, edited by Zhengyu Du and Bin Liu. SPIE, 2010. http://dx.doi.org/10.1117/12.866983.

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Zhang, Jianbo, Jiping Liu, and Bei Wang. "Spatial cluster based on map algebra." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.590.

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Deng, Shuang, Wenting Xiang, and Yangge Tian. "The GIS map coloring support decision-making system based on case-based reasoning and simulated annealing algorithm." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838673.

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Zhao, J. Leon, and Ahmed Zaki. "Spatial data traversal in road map databases." In the third international conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/191246.191308.

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Walker, Will, Hyungie Sung, Chris Kevin Ong, and Federico Casalegno. "Exploring spatial meaning with a tangible map." In PerDis '17: 6th International Symposium on Pervasive Displays. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3078810.3078826.

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Звіти організацій з теми "Spatial Map"

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Tkacz, Sharon. Spatial Cognition and Map Interpretation. Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada190583.

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Larsgaard, M. L. The map and Imagery Laboratory, UCSB - spatial data for the 90's and beyond. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193920.

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3

Wilkens, Justin, Burton Suedel, Austin Davis, and Jeffrey Corbino. Improving spatial monitoring of dredging operations : a small unmanned aerial system application to map turbidity. Engineer Research and Development Center (U.S.), September 2018. http://dx.doi.org/10.21079/11681/28978.

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Wadman, Heidi, and Jesse McNinch. Spatial distribution and thickness of fine-grained sediment along the United States portion of the upper Niagara River, New York. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41666.

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Анотація:
Over 220 linear miles of geophysical data, including sidescan sonar and chirp sub-bottom profiles, were collected in 2016 and 2017 by the US Army Corps of Engineers and the US Fish and Wildlife Service in the upper Niagara River. In addition, 36 sediment grab samples were collected to groundtruth the geophysical data. These data were used to map the spatial distribution of fine-grained sediment, including volume data in certain locations, along the shallow shorelines of the upper Niagara River. Overall, the most extensive deposits were spatially associated with either small tributaries or with man-made structures that modified the natural flow of the system. Extensive beds of submerged aquatic vegetation (SAV) were also mapped. Although always associated with a fine-grained matrix, the SAV beds were patchy in distribution, which might reflect subtle differences in the grain size of the sediment matrix or could simply be a function of variations in species or growth. The maps generated from this effort can be used to guide sampling plans for future studies of contamination in fine-grained sediment regions.
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Bornaetxea, T., A. Blais-Stevens, and B. Miller. Landslide inventory map of the Valemount area, British Columbia. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330911.

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Landslides are a recurring geomorphological process in high mountainous areas like Valemount (Canadian Rocky Mountains, British Columbia). The compilation of detailed information about the spatial distribution and characteristics of past landslides is essential for assessing future potential hazards. To provide baseline geoscience information to stakeholders and decision-makers, we carried out a landslide inventory that covers roughly 1200 km2. Using visual interpretation of aerial orthophotos, a digital elevation model of 5x5 meter resolution and satellite imagery, we compiled up to 1286 landslides and classified each into 12 categories and three confidence levels. The current paper describes the mapping methodology and summarizes our results.
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O'Neill, H. B., S. A. Wolfe, and C. Duchesne. Ground ice map of Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330294.

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This Open File presents national-scale mapping of ground ice conditions in Canada. The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt. Additional compilation of quantitative field data on ground ice and improvements to national-scale surficial geology mapping will allow further assessment and refinement of the representation of ground ice in Canada. Continued research will focus on improving the lateral and vertical representation of ground ice required for incorporation into Earth system models and decision-making. Spatial data files of the mapping are available as downloads with this Open File.
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Safford, Hugh D., and Kip M. Van de Water. Using fire return interval departure (FRID) analysis to map spatial and temporal changes in fire frequency on national forest lands in California. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, 2014. http://dx.doi.org/10.2737/psw-rp-266.

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Wadman, Heidi, and Jesse McNinch. Elevation of underlying basement rock, Ogdensburg Harbor, NY. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40843.

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Over six linear miles of shallow acoustic reflection geophysical data were collected in an 800 ft by 300 ft survey region at Ogdensburg Harbor, Ogdensburg, NY. To better accommodate modern commercial vessels and expand the harbor’s capacity, the current navigable depth of -19 ft Low Water Depth (LWD) needs to be increased to -28 ft LWD, and an accurate map of the nature of the riverbed material (e.g., unconsolidated sediment, partially indurated glacial till, or bedrock) is required to effectively plan for removal. A total of 28 boreholes were previously collected to map the stratigraphy, and the effort revealed significant spatial variability in unit thickness and elevation between adjacent boreholes. To accurately map this variable stratigraphy, chirp sub-bottom profiles were collected throughout the region, with an average line spacing of 13 ft. These sub-bottom data, validated and augmented by the borehole data, resulted in high-resolution spatial maps of stratigraphic elevation and thickness for the study area. The data will allow for more accurate assessment of the type and extent of different dredging efforts required to achieve a future uniform depth of -28 ft LWD for the navigable region.
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Ruiz, Pablo, Craig Perry, Alejando Garcia, Magali Guichardot, Michael Foguer, Joseph Ingram, Michelle Prats, Carlos Pulido, Robert Shamblin, and Kevin Whelan. The Everglades National Park and Big Cypress National Preserve vegetation mapping project: Interim report—Northwest Coastal Everglades (Region 4), Everglades National Park (revised with costs). National Park Service, November 2020. http://dx.doi.org/10.36967/nrr-2279586.

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Анотація:
The Everglades National Park and Big Cypress National Preserve vegetation mapping project is part of the Comprehensive Everglades Restoration Plan (CERP). It is a cooperative effort between the South Florida Water Management District (SFWMD), the United States Army Corps of Engineers (USACE), and the National Park Service’s (NPS) Vegetation Mapping Inventory Program (VMI). The goal of this project is to produce a spatially and thematically accurate vegetation map of Everglades National Park and Big Cypress National Preserve prior to the completion of restoration efforts associated with CERP. This spatial product will serve as a record of baseline vegetation conditions for the purpose of: (1) documenting changes to the spatial extent, pattern, and proportion of plant communities within these two federally-managed units as they respond to hydrologic modifications resulting from the implementation of the CERP; and (2) providing vegetation and land-cover information to NPS park managers and scientists for use in park management, resource management, research, and monitoring. This mapping project covers an area of approximately 7,400 square kilometers (1.84 million acres [ac]) and consists of seven mapping regions: four regions in Everglades National Park, Regions 1–4, and three in Big Cypress National Preserve, Regions 5–7. The report focuses on the mapping effort associated with the Northwest Coastal Everglades (NWCE), Region 4 , in Everglades National Park. The NWCE encompasses a total area of 1,278 square kilometers (493.7 square miles [sq mi], or 315,955 ac) and is geographically located to the south of Big Cypress National Preserve, west of Shark River Slough (Region 1), and north of the Southwest Coastal Everglades (Region 3). Photo-interpretation was performed by superimposing a 50 × 50-meter (164 × 164-feet [ft] or 0.25 hectare [0.61 ac]) grid cell vector matrix over stereoscopic, 30 centimeters (11.8 inches) spatial resolution, color-infrared aerial imagery on a digital photogrammetric workstation. Photo-interpreters identified the dominant community in each cell by applying majority-rule algorithms, recognizing community-specific spectral signatures, and referencing an extensive ground-truth database. The dominant vegetation community within each grid cell was classified using a hierarchical classification system developed specifically for this project. Additionally, photo-interpreters categorized the absolute cover of cattail (Typha sp.) and any invasive species detected as either: Sparse (10–49%), Dominant (50–89%), or Monotypic (90–100%). A total of 178 thematic classes were used to map the NWCE. The most common vegetation classes are Mixed Mangrove Forest-Mixed and Transitional Bayhead Shrubland. These two communities accounted for about 10%, each, of the mapping area. Other notable classes include Short Sawgrass Marsh-Dense (8.1% of the map area), Mixed Graminoid Freshwater Marsh (4.7% of the map area), and Black Mangrove Forest (4.5% of the map area). The NWCE vegetation map has a thematic class accuracy of 88.4% with a lower 90th Percentile Confidence Interval of 84.5%.
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Reyes, Julian, Jeb Williamson, and Emile Elias. Spatio-temporal analysis of Federal crop insurance cause of loss data: A roadmap for research and outreach effort. U.S. Department of Agriculture, April 2018. http://dx.doi.org/10.32747/2018.7202608.ch.

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Анотація:
Federal crop insurance provides a financial safety net for farmers against insured perils such as drought, heat, and freeze. In 2016 over $100 billion dollars of crops were insured through the Federal crop insurance program administered by the U.S. Department of Agriculture Risk Management Agency. In this white paper, we analyze publicly-available Federal crop insurance data to understand how weather and climate-related perils, or causes of loss (COL), change over time and spatial areas. We find that over 75% of all weather/climate-related indemnities (i.e., crop losses) from 2001 to 2016 are due to three COL: drought, excess moisture, and hail. However, the extent to which these top COL and others impact indemnities is highly dependent on the time period, temporal scale, and spatial scale of analysis. Moreover, we identify what COL are region- or season-specific, and visualize COL trends over time. Finally, we offer a road map of research applications to quantify such trends in indemnities, as well as outreach and extension efforts that include an online data portal.
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