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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...
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| Lenguaje: | eng |
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Springer
2012
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| Acceso en línea: | https://dx.doi.org/10.1007/978-94-007-4075-4 http://cds.cern.ch/record/1501913 |