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If you are new to GIS, I would recommend using Google Earth Pro (free to use, as of a couple months ago). You could draw polygons in two different layers (residential and commercial). If Excel is only needed to calculate the area, you could simply calculate the area with Google Earth.


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TatukGIS Coordinate Calculator (CALC)", I have been using this for converting the coordinates of a point between coordinate systems.


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The following tutorials might be useful: Creating tiles with ImageMagick or https://github.com/rktjmp/tileup : http://omarriott.com/aux/leaflet-js-non-geographical-imagery/ Creating tiles with GDAL: http://sandbox.idre.ucla.edu/sandbox/general/zoomable-image-with-gdal-and-leaflet


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The MapTiler is tool for creating the map tiles for bing, google maps, leaflet or openlayers. To process the CAD files you may need to save it first as a PDF. If geographic coordinates are used in the CAD then export to GeoPDF. Alternatively you could export the data from the CAD software as an image such as TIFF/GeoTIFF or JPEG. MapTiler will open such ...


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HDFview is geared for use with satellite data or climate model output that often comes in hierarchical data formats or netcdfs, but it's one of those things like a good text editor (ex. notepad++ or vim), where once you come across certain file types you need this tool to get a first look at them and understand how things are structured. It's not really ...


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Here is how you could get the slope, using R and the raster package. To (also) get the intercept see help(calc) library(raster) # your file # b <- brick("file.nc") # example data: b <- brick(system.file("external/rlogo.grd", package="raster")) # here time is 1 to n, but you can set it something else time <- 1:nlayers(b) # write a function that ...


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GDAL has support for netCDF files: gdalinfo --formats|grep -i cdf GMT (rw): GMT NetCDF Grid Format netCDF (rw+): Network Common Data Format So, you can open this kind of files directly in QGIS. For this page: http://www.unidata.ucar.edu/software/netcdf/examples/files.html I downloaded this ECMWF_ERA-40_subset.nc climate sample file. It has 17 multiband ...


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If you're familiar with Python you can use the netCDF4-python library that can read and write both netCDF 3 and 4 data to numpy arrays. For example: from netCDF4 import Dataset root_group = Dataset("path_to_dataset", format='NETCDF4') print root_group $ netCDF4 style dump data = root_group.variables["some_variable"][:] Python has a large number of ...



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