random_field | based script

by NumericalEnvironmental Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | random_field Summary

random_field is a Python library. random_field has no bugs, it has no vulnerabilities and it has low support. However random_field build file is not available. You can download it from GitHub.

This is a Python 2.7 script designed to produce realistic-looking spatially correlated random field, such a s hydraulic conductivity, for use in 2-D or 3-D visualizations and/or numerical models. The model starts with a set of user specified seeds (locations with a known property), adds to the seed set sequentially by postulating new nearby points chosen from a Gaussian distribution, and then generates a numerical grid using scipy’s gridding routine once the seed population maximum is reached. The code is not mean to be geostatistically robust but rather an easy-to-understand demo that produces reasonable looking results. The script requires the numpy, scipy, and matplotlib libraries. June 1, 2019: Please note that the functionality of this particular script is now much better addressed with a newer (and shorter/simpler) python code which can be found here:

Support

Quality

Security

License

Reuse

Support

random_field has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

random_field has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of random_field is current.

Quality

random_field has no bugs reported.

Security

random_field has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

random_field does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

random_field releases are not available. You will need to build from source code and install.

random_field has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed random_field and discovered the below as its top functions. This is intended to give you an instant insight into random_field implemented functionality, and help decide if they suit your requirements.

Generate point set .
Initialize the grid .
Read seed points .
Set the histogram statistics
Writes the output to a file .
Displays the model parameters
Create Group Groups
Inverse distance - squared interpolation .
Custom output for MODFLOW
Contour distribution .

Get all kandi verified functions for this library.

random_field Key Features

No Key Features are available at this moment for random_field.

random_field Examples and Code Snippets

No Code Snippets are available at this moment for random_field.

Community Discussions

No Community Discussions are available at this moment for random_field.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install random_field

You can download it from GitHub.
You can use random_field like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: