GeoSpark Python

Project description

geospark

This library is Python wrapper on GeoSpark library.

GeoSpark is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL with a set of out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that efficiently load, process, and analyze large-scale spatial data across machines.

Python version supports:

GeoSpark core

GeoSpark SQL

Please follow tutorial on official GeoSpark website: https://datasystemslab.github.io/GeoSpark/

Project details

Release history Release notifications | RSS feed

This version

1.3.1

Feb 18, 2020

1.3.0

Feb 13, 2020

0.0.1

Feb 9, 2020

0.0.0

Feb 8, 2020

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geospark-1.3.1.tar.gz (34.3 MB view hashes)

Uploaded Feb 18, 2020 source

Built Distribution

geospark-1.3.1-py3-none-any.whl (34.4 MB view hashes)

Uploaded Feb 18, 2020 py3

Hashes for geospark-1.3.1.tar.gz

Hashes for geospark-1.3.1.tar.gz
Algorithm	Hash digest
SHA256	`ab6157297f6d395001305b1e21f1a4cca75e169c704b3de998bbc260095900a3`
MD5	`c6044885cc6bcf9c398dc6e013228fca`
BLAKE2b-256	`5a5e5be33368ec1a6d20674724c425c216761909b8526ff8740dbb2c1d3f7c41`

Hashes for geospark-1.3.1-py3-none-any.whl

Hashes for geospark-1.3.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`1056034994b93773849b1c28a05df463d885665eb56d8655f4a2f7f02e5dea72`
MD5	`8ef5b2450b583fc5d0250a02d9098299`
BLAKE2b-256	`7ed353f6e8cb78ec95c2add17f0253c2d075b7b922244b9fb1801ebb8e6ced9c`