GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series)
| Author | : | |
| Rating | : | 4.41 (934 Votes) |
| Asin | : | 1446274330 |
| Format Type | : | paperback |
| Number of Pages | : | 336 Pages |
| Publish Date | : | 2016-12-05 |
| Language | : | English |
DESCRIPTION:
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 AlgorithmsSpatial IndexingSpatial Analysis and Modelling With its comprehensive coverage of the many algorithms involved, GIS Algorithms is a key new textb
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. Xiao’s book is a must-have for any GIS programmers, from beginners to professionals. In addition the algorithms are a good starting point for anyone looking to implement functions in other languages. (Andrew Evans) . 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 vecto
Ningchuan Xiao is Associate Professor of Geography at the Ohio State University. His research focuses on the development of effective computational methods in spatial and temporal data handling. . He has taught a wide ranges of courses in GIS, spatial analysis, and cartography