verde.datasets.fetch_california_gps

verde.datasets.fetch_california_gps#

verde.datasets.fetch_california_gps()[source]#

Fetch sample GPS velocity data from California (the U.S. West coast).

Warning

All sample datasets in Verde are deprecated and will be removed in Verde v2.0.0. The tutorials/examples will transition to using Ensaio instead.

Velocities and their standard deviations are in meters/year. Height is geometric height above WGS84 in meters. Velocities are referenced to the North American tectonic plate (NAM08). The average velocities were released on 2017-12-27.

This material is based on EarthScope Plate Boundary Observatory data services provided by UNAVCO through the GAGE Facility with support from the National Science Foundation (NSF) and National Aeronautics and Space Administration (NASA) under NSF Cooperative Agreement No. EAR-1261833.

If the file isn’t already in your data directory, it will be downloaded automatically.

Returns:

data (pandas.DataFrame) – The GPS velocity data. Columns are longitude, latitude, height (geometric, in meters), East velocity (meter/year), North velocity (meter/year), upward velocity (meter/year), standard deviation of East velocity (meter/year), standard deviation of North velocity (meter/year), standard deviation of upward velocity (meter/year).

See also

setup_california_gps_map

Utility function to help setup a Cartopy map.

Examples using verde.datasets.fetch_california_gps#

Using weights in blocked reduction

Using weights in blocked reduction

Using weights in blocked means

Using weights in blocked means

Gridding with splines and weights

Gridding with splines and weights

Trends in vector data

Trends in vector data

Vector Data

Vector Data

Using Weights

Using Weights