gis/whitebox-tools: Wrap README at 72 columns.

Signed-off-by: B. Watson <yalhcru@gmail.com>

1 files changed, 21 insertions, 19 deletions

diff --git a/gis/whitebox-tools/README b/gis/whitebox-tools/README
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-WhiteboxTools is an advanced geospatial data analysis platform developed by
-Prof. John Lindsay at the University of Guelph's Geomorphometry and
-Hydrogeomatics Research Group. WhiteboxTools can be used to perform common
-geographical information systems (GIS) analysis operations, such as
-cost-distance analysis, distance buffering, and raster reclassification. Remote
-sensing and image processing tasks include image enhancement (e.g. panchromatic
-sharpening, contrast adjustments), image mosaicing, numerous filtering
-operations, simple classification (k-means), and common image transformations.
-WhiteboxTools also contains advanced tooling for spatial hydrological analysis
-(e.g. flow-accumulation, watershed delineation, stream network analysis, sink
-removal), terrain analysis (e.g. common terrain indices such as slope,
-curvatures, wetness index, hillshading; hypsometric analysis; multi-scale
-topographic position analysis), and LiDAR data processing. LiDAR point clouds
-can be interrogated (LidarInfo, LidarHistogram), segmented, tiled and joined,
-analyized for outliers, interpolated to rasters (DEMs, intensity images), and
-ground-points can be classified or filtered. WhiteboxTools is not a
-cartographic or spatial data visualization package; instead it is meant to
-serve as an analytical backend for other data visualization software, mainly
-GIS.
+WhiteboxTools is an advanced geospatial data analysis platform
+developed by Prof. John Lindsay at the University of Guelph's
+Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be
+used to perform common geographical information systems (GIS) analysis
+operations, such as cost-distance analysis, distance buffering, and
+raster reclassification. Remote sensing and image processing tasks
+include image enhancement (e.g. panchromatic sharpening, contrast
+adjustments), image mosaicing, numerous filtering operations,
+simple classification (k-means), and common image transformations.
+WhiteboxTools also contains advanced tooling for spatial hydrological
+analysis (e.g. flow-accumulation, watershed delineation, stream
+network analysis, sink removal), terrain analysis (e.g. common terrain
+indices such as slope, curvatures, wetness index, hillshading;
+hypsometric analysis; multi-scale topographic position analysis),
+and LiDAR data processing. LiDAR point clouds can be interrogated
+(LidarInfo, LidarHistogram), segmented, tiled and joined, analyized
+for outliers, interpolated to rasters (DEMs, intensity images), and
+ground-points can be classified or filtered. WhiteboxTools is not
+a cartographic or spatial data visualization package; instead it is
+meant to serve as an analytical backend for other data visualization
+software, mainly GIS.