GIS Algorithms

AvNingchuan Xiao

Inbunden, Engelska, 2015

Del i serien SAGE Advances in Geographic Information Science and Technology Series

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Beskrivning

Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural dynamics where spatial components play a key role. The critical algorithms used in GIS, however, are notoriously difficult to both teach and understand, in part due to the lack of a coherent representation. GIS Algorithms attempts to address this problem by combining rigorous formal language with example case studies and student exercises.

Using Python code throughout, Xiao breaks the subject down into three fundamental areas:

Geometric Algorithms
Spatial Indexing
Spatial Analysis and Modelling

With its comprehensive coverage of the many algorithms involved, GIS Algorithms is a key new textbook in this complex and critical area of geography.

Produktinformation

Utgivningsdatum:2015-12-17
Mått:170 x 242 x 23 mm
Vikt:730 g
Format:Inbunden
Språk:Engelska
Serie:SAGE Advances in Geographic Information Science and Technology Series
Antal sidor:336
Upplaga:1
Förlag:SAGE Publications
ISBN:9781446274323

Utforska kategorier

Geografi inom Naturvetenskap och teknik

Mer om författaren

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.

Recensioner i media

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.

Innehållsförteckning

IntroductionPart I. Geometric AlgorithmsBasic Geometric OperationsPolygon OverlayPart II. Spatial IndexingIndexingk-D TreesQuadtreesIndexing Lines and PolygonsPart III. Spatial Analysis and ModelingInterpolationSpatial Pattern and AnalysisNetwork AnalysisSpatial OptimizationHeuristic Search Algorithms