Ebook: Automating the Analysis of Spatial Grids: A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications

The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.

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The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.

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The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.
Content:
Front Matter....Pages i-x
Automated Analysis of Spatial Grids: Motivation and Challenges....Pages 1-18
Geospatial Grids....Pages 19-66
Data Structures for Spatial Grids....Pages 67-89
Global and Local Image Statistics....Pages 91-128
Neighborhood and Window Operations....Pages 129-172
Identifying Objects....Pages 173-221
Change and Motion Estimation....Pages 223-269
Data Mining Attributes from Spatial Grids....Pages 271-308
Back Matter....Pages 309-320

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The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.
Content:
Front Matter....Pages i-x
Automated Analysis of Spatial Grids: Motivation and Challenges....Pages 1-18
Geospatial Grids....Pages 19-66
Data Structures for Spatial Grids....Pages 67-89
Global and Local Image Statistics....Pages 91-128
Neighborhood and Window Operations....Pages 129-172
Identifying Objects....Pages 173-221
Change and Motion Estimation....Pages 223-269
Data Mining Attributes from Spatial Grids....Pages 271-308
Back Matter....Pages 309-320
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