Posted in Packages

Smear

An open-source parallel python toolkit for spatial interpolation of large irregular two-dimensional scatter datasets.

https://github.com/dharhas/smear

Status: N/A

Depends on: Numpy, SciPy

Optional extensions:

Python versions: N/A

OS Platforms: N/A

 

Examples:

Official usage examples

https://github.com/dharhas/smear/tree/master/examples

Recording of Powerpoint presentation

https://ams.confex.com/ams/93Annual/flvgateway.cgi/id/23366?recordingid=23366

 

Installation:

Commandline

python setup.py install

Posted in Packages

HPGL

HPGL stands for High Performance Geostatistics Library. HPGL is written in C++ / Python to realize some geostatistical algorithms (see full list below). The algorithms are called in Python, by executing the corresponding commands. The current version of HPGL (0.9.9) implements the following algorithms: Simple Kriging (SK); Ordinary Kriging (OK); Indicator Kriging (IK); Local Varying Mean Kriging (LVM Kriging); Simple CoKriging (Markov Models 1 & 2); Sequential Indicator Simulation (SIS); Corellogram Local Varying Mean SIS (CLVM SIS); Local Varying Mean SIS (LVM SIS); Sequential Gaussian Simulation (SGS)

http://hpgl.mit-ufa.com/

Status: Abandoned

Depends on: Numpy, SciPy

Optional extensions:

Python versions: 2.5, N/A

OS Platforms: ‘Windows’, ‘Linux’

 

Examples:

Official usage examples

http://hpgl.mit-ufa.com/hpgl_0.9.9_manual_english.pdf

 

Installation:

Compiling from source

https://github.com/hpgl/hpgl

Binary installers

http://sourceforge.net/projects/hpgl/files/hpgl/