Author Description

The Widespread Use Of Geographical Information Systems (gis) Has Increased The Demand For Knowledge About Spatial Analytical Techniques Across A Range Of Disciplines. This Text Provides An Overview Of The Latest Developments In The Field. Cover; Contents; Notes On Contributors; 1introduction; 2 The Special Nature Of Spatial Data; 3 The Role Of Gis; 4 Geovisualization And Geovisual Analytics; 5 Availability Of Spatial Data Mining Techniques; 6 Spatial Autocorrelation; 7 The Modifiable Areal Unit Problem (maup); 8 Spatial Weights; 9 Geostatistics And Spatial Interpolation; 10 Spatial Sampling; 11 Statistical Inference For Geographical Processes; 12 Fuzzy Sets In Spatial Analysis; 13 Geographically Weighted Regression; 14 Spatial Regression; 15 Spatial Microsimulation; 16 Detection Of Clustering In Spatial Data 17 Bayesian Spatial Analysis18 Monitoring Changes In Spatial Patterns; 19 Case-control Clustering For Mobile Populations; 20 Neural Networks For Spatial Data Analysis; 21 Geocomputation; 22 Applied Retail Location Models Using Spatial Interaction Tools; 23 Spatial Analysis On A Network; 24 Challenges In Spatial Analysis; 25 The Future For Spatial Analysis; Index Edited By A. Stewart Fotheringham And Peter A. Rogerson. Description Based Upon Print Version Of Record. Includes Bibliographical References And Index. English