|
Product 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 Algorithms
- Spatial Indexing
- Spatial Analysis and Modelling
Customers Who Bought This Item Also Bought
- Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology (SAGE Advances in Geographic Information Science and Technology Series)
- Statistical Methods for Geography: A Student's Guide
- PostGIS in Action, 2nd Edition
- Agent-Based Modelling and Geographical Information Systems: A Practical Primer (Spatial Analytics and GIS)
- Spatial Simulation: Exploring Pattern and Process
- Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
- Geoprocessing with Python
- Business Site Selection, Location Analysis and GIS
- Think Python: How to Think Like a Computer Scientist
- Introductory Digital Image Processing: A Remote Sensing Perspective (4th Edition) (Pearson Series in Geographic Information Science)
*If this is not the "GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series)" product you were looking for, you can check the other results by clicking this link. Details were last updated on Jan 4, 2025 03:26 +08.