Description
| Product ID: | 9781446274330 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | SAGE Advances in Geographic Information Science and Technology Series |
| Title: | GIS Algorithms |
| Authors: | Author: Ningchuan Xiao |
| Page Count: | 336 |
| Subjects: | Geographical information systems, geodata and remote sensing, Geographical information systems (GIS) & remote sensing, Maths for computer scientists, Maths for computer scientists |
| Description: | Select Guide Rating The critical algorithms used in GIS are notoriously difficult to both teach and understand. This book address the problem by combining rigorous formal language with example case studies and student exercises. 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:
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| Imprint Name: | Sage Publications Ltd |
| Publisher Name: | Sage Publications Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2015-12-17 |
