simplegeomap 0.0.37

Simple offline map plot utility, for country borders, elevation, water

SimpleGeoMap

Given a center latitude, longitude and a zoom level simply plot all country boundaries, rivers, lakes, elevation contour lines that fit on the map, using offline data. This package is self-contained, it does not need net connectivity to get its data.

Each land feature can be enabled through its API call.

Installation

pip install simplegeomap

How To Use

import matplotlib.pyplot as plt
import simplegeomap

clat,clon=41,14; zoom = 1.0

simplegeomap.plot_countries(clat,clon,zoom)

simplegeomap.plot_water(clat,clon,zoom)

simplegeomap.plot_elevation(clat,clon,zoom)

plt.savefig('map.jpg',quality=30)

Regions can be plotted by passing polygon points in an N x 2 numpy array to the plot_region call. This call assumes the last point connects to the first point, hence creating a closed region. If we want the points to represent a curve/line, without the end connecting to its beginning, then plot_line can be used.

Datafiles, Preprocessing

Preprocessing when necessary has already been executed, their result are already placed inside the package. Listed below are sources, steps just in case, if one wants to preprocess with different parameters, so on.

Country Border Datafile comes from here

For water regions the lake/river data from NOAA was used.

In order to regenerate the water file from its raw sources, see util.preprocess_GSHHS, assuming the data is unzipped under /tmp it will recreate the datafile.

Cities. The only addition here was a new column for asciified city names using import unidecode; unidecode.unidecode(..).

Elevation Data is taken from NOAA, datafile is from here download "all files in on zip", extract zip under /tmp, then run util.preprocess_GLOBE. GLOBE means Global Land One-kilometer Base Elevation, meaning the resolution of each grid is 1 km square.

Links

Programming Articles on Python, IT

Linear Algebra, Calculus