ArcGIS remove negative values from DEM, DEM max increases
Hiking & ActivitiesWhy does Dem show negative values? The negative values usually implies that the Z values are below a reference Z= 0 defined spot for sea level (see here for more explanations). How do I remove values from raster in ArcGIS? Click the Raster Cleanup menu on the ArcScan toolbar and click Start Cleanup. Click Erase
How can I export a GeoJSON file from R?
Hiking & ActivitiesHow do I export a GeoJSON file? To export data, click on Special – Export to GeoJSON. Clicking on this item will display the dialog as in the following figure. In this dialog, you can setup the GeoJSON export. You can choose from two export modes – Selected Layer of All Visible Layers. Can R
GPS: what limits the _rate_ of change in altitude?
Hiking & ActivitiesWhat altitude does GPS limit? Most civilian GPS receivers will stop working at an altitude of roughly 18,000 m ~ 60,000 ft. This prevents most trackers from being able to update your payload’s position above 18,000 m. Sometimes it is possible to obtain specialized GPS receivers (more expensive) that work above 18,000 m. How does
Changing min and max values for raster layer in QGIS
Hiking & ActivitiesHow do I change values in raster QGIS? Editing DEM pixels values in QGIS using Serval Plugin Probe button allows you to check the cell values in the raster. Drawing button activate the ability to modify the values of a raster cell. Clicking on the Set raster cell values to NoData button and then in
Removing file from os results in WinError 32
Hiking & ActivitiesWhat is Win Error 32? The Code 32 error is one of several Device Manager error codes. They’re usually caused when the start type for the hardware device’s driver is disabled in the registry. The error could apply to any hardware device in Device Manager but most of them appear on optical drives like Blu-ray,
Using R to subtract polygon area of one shapefile from another?
Hiking & ActivitiesHow do you calculate the area of a polygon in R? Load your multipolygon in R, make sure it has an appropriate coordinate system, then use st_area() , which returns the area of each polygon (row) in your multipolygon. > df2 % group_by(id) %>% summarize(st_union(geometry), area_id = sum(area)) > merge(df, st_drop_geometry(df2), by = “id”, all.