Ningchuan Xiao is Associate Professor of Geography at the Ohio State University. He has taught a wide ranges of courses in GIS, spatial analysis, and cartography. His research focuses on the development of effective computational methods in spatial and temporal data handling.
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Description
Introduction Part I. Geometric Algorithms Basic Geometric Operations Polygon Overlay Part II. Spatial Indexing Indexing k-D Trees Quadtrees Indexing Lines and Polygons Part III. Spatial Analysis and Modeling Interpolation Spatial Pattern and Analysis Network Analysis Spatial Optimization Heuristic Search Algorithms
Xiao's book is a must-have for any GIS programmers, from beginners to professionals. Its sample programs in Python provide a rich library for key GIS algorithms. -- Fahui Wang This is a welcome book, which covers the major geographical algorithms for vector and point-based analyses, along with network travel analysis and optimal solution searches, in practical detail. Its concentration on applied Python examples is timely, and it is sure to be the go-to handbook for anyone wanting to build from-the-ground up GIS functions into Python software. In addition the algorithms are a good starting point for anyone looking to implement functions in other languages. -- Andrew Evans