Tang T. Fundamentals of Geographic Information Systems (GIS) Analysis...2025 torrent

Textbook in PDF format

Unique and authoritative reference combining concepts, theories, and hands-on analysis in the ArcGIS Pro software environment.
Fundamentals of Geographic Information Systems (GIS) Analysis bridges the gap between academic discussions and research with public and private professional practices in the field. The book discusses and illustrates essential concepts and theories, with tutorials showing students how to conduct hands-on analysis in the ArcGIS Pro software environment.
Supplementary material for this text includes data files for the tutorials and student exercises. All datasets are sourced from public domains, including the US Census Bureau data, the New York State ITS Geospatial Services, the New York State Department of Environmental Conservation (NYSDEC), the GIS Services of Erie County New York, and others.
Computer programming languages are the backbone of software development. GIS software developers need to use one of these languages to build the specific applications for specific industrial needs or specific tasks. The widely used programming languages in GIS are Python and JavaScript. Python has been used for making functions and tools in ArcGIS Pro. Python has libraries like ArcPy (for ArcGIS) and GeoPandas, making it crucial for spatial data analysis, automation, and geospatial processing. JavaScript is mainly used as an essential language for web-based GIS applications. Libraries of JavaScript like Leaflet and OpenLayers are utilized for interactive maps and spatial data visualization online.
GIS software developers should use the industry-standard tools and programming language to ensure compatibility in the computational environment; should document the programs, input and output requirements, and should adhere to established conventions for naming, formatting, and documenting the code of the programs. GIS software developers also need to take notes for user feedback and use them to improve the software tool or function.
Written by a highly qualified academic, the book covers topics such as:
Digital data models representing geographic information, including vector, raster, and 3D models
Methods of spatial data input in vector and raster data formats to incorporate geographic features and events with their attribute data
Geographic data collections in natural sciences, engineering, and social sciences, and relational, spatial, and structural querying of a database
Coordinate systems, map projection, geo-referencing, geographic analyses, and internet-enabled geographic information sharing
Spatial interpolation and spatial statistical analysis, network analysis, digital mapping, and map presentations
Fundamentals of Geographic Information Systems (GIS) Analysis is an essential reference for GIS analysts and technicians, urban planners, civil engineers, and computer scientists, along with students in related programs of study