An introduction to spatial data analysis : remote sensing and GIS with open source software An Introduction to Spatial Data Analysis Half Title Page Title Page Copyright Page Contents Preface 1. Introduction and overview 1.1 Spatial data 1.2 First spatial data analysis 1.3 Next steps Part I. Data acquisition data preparation and map creation 2. Data acquisition 2.1 Spatial data for a research question 2.2 AOI 2.3 Thematic raster map acquisition 2.4 Thematic vector map acquisition 2.5 Satellite sensor data acquisition 2.6 Summary and further reading 3. Data preparation 3.1 Deciding on a projection 3.2 Reprojecting raster and vector layers 3.3 Clipping to an AOI 3.4 Stacking raster layers 3.5 Visualizing a raster stack as RGB 3.6 Summary and further reading 4. Creating maps 4.1 Maps in QGIS 4.2 Maps for presentations 4.3 Maps with statistical information 4.4 Common mistakes and recommendations 4.5 Summary and further reading Part II. Spatial field data acquisition and auxiliary data 5. Field data planning and preparation 5.1 Field sampling strategies 5.2 From GIS to global positioning system (GPS) 5.3 On screen digitization 5.4 Summary and further reading 6. Field sampling using a global positioning system (GPS) 6.1 GPS in the field 6.2 GPX from GPS 6.3 Summary 7. From global positioning system (GPS) to geographic information system (GIS) 7.1 Joint coordinates and measurement sheet 7.2 Separate coordinates and measurement sheet 7.3 Point measurement to information 7.4 Summary Part III. Data analysis and new spatial information 8. Vector data analysis 8.1 Percentage area covered 8.2 Spatial distances 8.3 Summary and further analyses 9. Raster analysis 9.1 Spectral landscape indices 9.2 Topographic indices 9.3 Spectral landscape categories 9.4 Summary and further analysis.