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COPY RASTER IN R DOWNLOAD

COPY RASTER IN R DOWNLOAD

9 Download and process spatial datasets from within R.

8.4.1 Multiple panels of figures as a single figure.

8.3.2 RColorBrewer: scale_*_distiller() and scale_*_brewer().

8.2.3 Visualize stars with geom_stars().

8.2.2 Visualize stars with geom_raster().

8.2.1 Visualize Raster \(^*\) with geom_raster().

8.2 Raster data visualization: geom_raster() and geom_stars().

8.1.4 Plotting multiple spatial objects in one figure.

7.8 Convert from and to Raster \(^*\) or SpatRaster objects.

7.7.3 Merging stars objects of different spatial extents.

7.7.2 Merging stars objects of different attributes.

7.7.1 Merging stars objects along the third dimension (band).

7.7 Merging stars objects using c() and st_mosaic().

7.5 Setting the time dimension manually.

7.3 Quick visualization for exploration.

7.2.5 Attributes to dimensions, and vice versa.

7.2.4 Get the dimension characteristics and values.

7.2.3 Get the coordinate reference system.

7.2 Some basic operations on stars objects.

7.1 Understanding the structure of a stars object.

7 Spatiotemporal Raster Data Handling with stars.

6.2.4 Approach 2: parallelize over the temporal dimension (year-month).

6.2.3 Approach 1: parallelize over polygons and do regular loop over year-month.5.3.2 Polygons: exact_extract(), terra::extract(), and raster::extract().5.3.1 Points: terra::extract() and raster::extract().5.2.4 Extracting to Polygons ( exactextractr way).5.2.3 Extracting to Polygons ( terra way).5.2.1 Simple visual illustrations of raster data extraction.5.2 Extracting Values from Raster Layers for Vector Data.5 Spatial Interactions of Vector and Raster Data.4.4 Turning a raster object into a ame.4.3 Extract information from raster data object.4.1.3 Converting a SpatRaster object to a Raster \(^*\) object.4.1.1 raster package: RasterLayer, RasterStack, and RasterBrick.3.4 Spatial Intersection (cropping join).3.3.3 Case 3: polygons (target) vs polygons (source).3.3.2 Case 2: polygons (target) vs points (source).3.3.1 Case 1: points (target) vs polygons (source).3.2.5 Subsetting to a geographic extent (bounding box).3.2.4 polygons (source) vs points (target).3.2.3 lines (source) vs polygons (target).3.2.2 points (source) vs polygons (target).3.2.1 polygons (source) vs polygons (target).

3 Spatial Interactions of Vector Data: Subsetting and Joining.2.9 Non-interactive geometrical operations.2.6 Turning a ame of points into an sf.2.5 Quick and interactive view of an sf object.2.4 Projection with a different Coordinate Reference Systems.2.2.2 Create simple feature geometry list-column ( sfc) and simple feature ( sf) from scratch.2.2 Simple feature geometry, simple feature geometry list-column, and simple feature.1.5 Demonstration 5: Groundwater use for agricultural irrigation.1.4 Demonstration 4: The Impact of Railroad Presence on Corn Planted Acreage.1.3 Demonstration 3: Land Use and Weather.1.2 Demonstration 2: Precision Agriculture.1.1 Demonstration 1: The impact of groundwater pumping on depth to water table.How is this book different from other online books and resources?.