TL;DR: This second edition of the widely acclaimed "Geospatial Analysis" guide has been updated and extended to include a major new chapter on Geocomputational Methods.
Abstract: This second edition of the widely acclaimed "Geospatial Analysis" guide has been updated and extended to include a major new chapter on Geocomputational Methods. It addresses the full spectrum of analytical techniques that are provided within modern Geographic Information Systems (GIS) and related geospatial software products. It is broad in its treatment of concepts and methods and representative in terms of the software that people actually use.Topics covered include: the principal concepts of geospatial analysis, their origins and methodological context; core components of geospatial analysis, including distance and directional analysis, geometrical processing, map algebra, and grid models; basic methods of exploratory spatial data analysis (ESDA) and spatial statistics, including spatial autocorrelation and spatial regression; surface analysis, including surface form analysis, gridding and interpolation methods; network and locational analysis, including shortest path calculation, traveling salesman problems; facility location and arc routing; Geocomputational methods, including Cellular automata, Agent Based Modelling, Neural Networks and Genetic Algorithms.The Guide has been designed for everyone involved in geospatial analysis, from undergraduate and postgraduate to professional analyst, software engineer and GIS practitioner. It builds upon the spatial analysis topics included in the US National Academies 'Beyond Mapping' and 'Learning to think spatially' agendas, the UK 'Spatial Literacy in Teaching' program, the NCGIA Core Curriculum and the AAAG/UCGIS Body of Knowledge. As such it provides a valuable reference guide and accompaniment to courses built around these programs.
TL;DR: The motivation for GeoSPARQL is described, the current state of the art in industry and research is explained, followed by an example use case, and finally the implementation of GeoSParQL in the Parliament triple store is described.
Abstract: As the amount of Linked Open Data on the web increases, so does the amount of data with an inherent spatial context. Without spatial reasoning, however, the value of this spatial context is limited. Over the past decade there have been several vocabularies and query languages that attempt to exploit this knowledge and enable spatial reasoning. These attempts provide varying levels of support for fundamental geospatial concepts. GeoSPARQL, a forthcoming OGC standard, attempts to unify data access for the geospatial Semantic Web. As authors of the Parliament triple store and contributors to the GeoSPARQL specification, we are particularly interested in the issues of geospatial data access and indexing. In this paper, we look at the overall state of geospatial data in the Semantic Web, with a focus on GeoSPARQL. We first describe the motivation for GeoSPARQL, then the current state of the art in industry and research, followed by an example use case, and finally our implementation of GeoSPARQL in the Parliament triple store.
TL;DR: This chapter presents an overview of the development and characteristics of the Geospatial Data Abstraction Library (GDAL), a widely used Open Source library for reading and writing a large variety of raster spatial data formats.
Abstract: This chapter presents an overview of the development and characteristics of the Geospatial Data Abstraction Library (GDAL), a widely used Open Source library for reading and writing a large variety of raster spatial data formats. The library has evolved substantially since its origins in 1998. It supports its own data model and application programming interface (API). From its initial single developer origins, GDAL has grown into a distributed project that has a relatively large number of contributing developers. The chapter discusses the origins of the project, its design philosophy, the data model, and directions for future development.
TL;DR: In this paper, the authors present a glossary of GIS Terms Index and GIS Issues and Prospects Appendix A: Internet Resources for GIS Appendix B: Glossary of Geospatial Terms Index
Abstract: 1. Introduction to Geographic Information Systems (GIS) 2. Maps and Geospatial Data 3. Digital Representation and Organization of Geospatial Data 4. Geospatial Data Quality and Standards 5. Raster Geoprocessing 6. Vector Geoprocessing 7. Geovisualization and Geospatial Information Products 8. Remote Sensing and GIS Integration 9. Digital Terrain Modeling 10. Spatial Data Analysis, Modeling and Mining 11. GIS Implementation and Project Management 12. GIS Issues and Prospects Appendix A: Internet Resources for GIS Appendix B: Glossary of GIS Terms Index
TL;DR: This work investigates approaches to discovering geographic context for web pages, and describes a navigational tool for browsing web resources by geographic proximity.
Abstract: Web pages may be organized, indexed, searched, and navigated along several di erent feature dimensions. We investigate di erent approaches to discovering geographic context for web pages, and describe a navigational tool for browsing web resources by geographic proximity.