Provincial Maps

Insure you run the Physical Geography version of the program

Final project  preparation.

Organize your data.  Insure you know where it is, and name the files so you can find them again.  Insure the files names, and the path where you put the files, do not have spaces.

Dataset Directions
GADM country and province boundaries
  • Level 0 is country.
  • Level 1 are provinces/states
  • GADM download (get shapefile) and uncompress.
  • Open quick vector map
  • Database to open the shapefile with the provinces.
  • Subset & zoom, to the region with your province.
  • Get the Bounding box to use with the other downloads.  You can roam on the map to get it, or:
  • Immediately Filter this database to show just your province.  If there are challenges with the spelling of the name, you can use the "Query field" option.  After you do the filter, you can do a Report, Shapefile export to get a shapefile with just your province for future use.
  • For your other maps,
    • Database (shapefile) on the map toolbar to open provincial boundaries (e.g. IRQ_adm1.shp or the one you subset).  You want the file that ends with the "SHP" extension. 
    • Make the provincial boundaries thicker so they show up better. Symbol and color selection on the database Table view
MERIT DEM, an improved SRTM 3" DEM
Koppen classification grid, University of Vienna.  Points every half degree;

  Climate distribution in the province or surrounding area if the province is small.

We have three ways to get climographs:

  1. Grid from University of Vienna
  2. Koppen climate stations reporting toWHO (coverage very variable)
  3. Monthly climate grids (where the temperature and precipitation are in fact from different sources)

These might not always agree because:

  1. They can use different time periods (more recent will tend to warmer, for example)\
  2. They can use slightly different rules for picking the classification category

Monthly climatologies parameters from 10 arc minute resolution grids.  While the program will interpolate values between the data points, you cannot capture small variations unless the province is very large.

Open monthly climatologies

Create graphs by Right click on map, Physical geography.

  • Create Koppen climograph 
  • Create monthly water budget graphs with Evapotranspiration
  • Daily temperature variation
  • Individual parameters
Earthquakes download from USGS: this includes smaller earthquakes
  • Use the bounding box for your province, or a slightly larger area if you want regional context, to get data in CSV format. Earthquakes download directions.
  • Database (shapefile) on the map toolbar to open the downloaded CSV file
  • For the USGS data, Proportional symbols/Icons might provide a good display.

Earthquake focal mechanisms from the CMT project.  This requires relatively large earthquakes, and a good geometric distribution of earthquakes in the surrounding area.  This will supply the type of fault.

Geology options

Volcanoes, Smithsonian database Geology options
Sunrise-sunset graphs and duration of daylight Right click on map, Physical geography, Daylight duration.
Sun position equinox/solstices Right click on map, Physical geography,



Dataset.  While our focus is on physical geography, the people and their activities can provide valuable clues about the landscape. To open
Night Lights, 2016. File, Physical Geography Labs, Night lights
Population Density.  This will be both the population density (per km), and its natural log, because the cities can swamp the rural areas in the color scale. File, Physical Geography Labs, Population density
If these do not load automatically, they should be in "C:\mapdata\world_pop_dens_gpwv4" 
Population pyramids. Not a GIS
Roads and other cultural features from OpenStreetMap.   


You have these options with the maps:

Map display techniques:

Map with data set. Description

Night lights.  from the Air Force DMSP satellite, for 2003

World population density  2010 in persons/km

Actual density, max set to 500
.  Many of the purple regions have significantly denser populattions.
World population density  2010 in persons/km



Natural log (ln) of density

Climate distribution in the province.

This is a very large provinces; smaller provinces might have only a single point from this data set.


Last revision 11/28/2018