digitalearth 0.6.0

Geospatial visualization package for rasters and vector data

Current release info

Name	Downloads	Version	Platforms

digitalearth - Remote Sensing package

digitalearth is a Remote Sensing package

digitalearth

Main Features

• plot static maps

Future work

• dynamic/interactive maps

Installing digitalearth

Installing digitalearth from the conda-forge channel can be achieved by:

conda install -c conda-forge digitalearth

It is possible to list all of the versions of digitalearth available on your platform with:

conda search digitalearth --channel conda-forge

Install from Github

to install the last development to time you can install the library from github

pip install git+https://github.com/serapeum-org/Digital-Earth

pip

to install the last release you can easly use pip

pip install digitalearth==0.1.11

Quick start

The entry points are quickmap (one call) and the Map scene. Build a finished map from a raster and save it:

from pyramids.dataset import Dataset
from digitalearth import quickmap

src = Dataset.read_file("examples/data/acc4000.tif")
m = quickmap(src, crs=src.epsg)   # finished Map with a colorbar
m.set_title("Flow Accumulation")
m.save("flow_accumulation.png")

For more control, compose layers on a Map directly — e.g. overlay points on a raster:

from pyramids.dataset import Dataset
from pyramids.feature import FeatureCollection
from digitalearth import Map

src = Dataset.read_file("examples/data/acc4000.tif")
points = FeatureCollection.read_file("tests/data/points.geojson")

m = Map(crs=src.epsg)
m.imshow(src)
m.scatter(points)
m.colorbar(layer=0)
m.set_title("Flow Accumulation")
m.save("flow_accumulation_with_labels.png")

other code samples

Legacy API (deprecated)

StaticGlyph is the original entry point and is deprecated — it emits a DeprecationWarning and will be removed in a future release. Prefer quickmap / Map above. It still works for now:

from pyramids.dataset import Dataset
from digitalearth.static import StaticGlyph

src = Dataset.read_file("examples/data/acc4000.tif")
fig, ax = StaticGlyph.plot(src, title="Flow Accumulation", cbar_label="Flow Accumulation")