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GIS algorithms: theory and applications for geographic information science and technology

By: Xiao, NingchuanMaterial type: TextTextPublication details: London Sage Publications Ltd. 2016 Description: ix, 318 pISBN: 9781446274330Subject(s): Algorithms | Geographic information systemsDDC classification: 910.28551 Summary: 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.
List(s) this item appears in: Operation & quantitative Techniques
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
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Operations Management & Quantitative Techniques 910.28551 XIA (Browse shelf(Opens below)) 1 Available 000529

Table of Content

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

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.

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