Indicators on Landscape Recreational Potential: Land use-based assessment of recreational opportunities under a multi-dimensional analytical lens
Project description
recreat - Indicators on Landscape Recreational Potential
recreat is a is a Python library for assessing landscape recreational potential in terms of dimensions of green-blue infrastructure provisioning, supply, and demand, through the analytical lens of recreation.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
recreat-0.0.7.tar.gz
(97.7 kB
view details)
Built Distributions
recreat-0.0.7-py3-none-any.whl
(98.0 kB
view details)
recreat-0.0.7-1-py3-none-any.whl
(98.0 kB
view details)
File details
Details for the file recreat-0.0.7.tar.gz
.
File metadata
- Download URL: recreat-0.0.7.tar.gz
- Upload date:
- Size: 97.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f0a4ca6727ca82ef62be220d7363af2e2fadff7276b6bc225ed8fda6911cc31 |
|
MD5 | 9df7915fc1b14e24d79916f374a0c2b1 |
|
BLAKE2b-256 | 1e5423d727796281662affba6e55a076f983c237de0d6f83913f54d55722f415 |
File details
Details for the file recreat-0.0.7-py3-none-any.whl
.
File metadata
- Download URL: recreat-0.0.7-py3-none-any.whl
- Upload date:
- Size: 98.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2ad1e9140a076f41fa96f23fd55d6d85f7d2b8f55b04458d3335fe86e44cff9f |
|
MD5 | c64ebbb3372f4a55c3478df896f491b3 |
|
BLAKE2b-256 | 829c1a19e2f451645408202c8ec9058f34fb824f06c0568a0122ba12a30a65d6 |
File details
Details for the file recreat-0.0.7-1-py3-none-any.whl
.
File metadata
- Download URL: recreat-0.0.7-1-py3-none-any.whl
- Upload date:
- Size: 98.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d63bcc9437cc337accfea2c4891378ed401998dbbf5cc1c3ebf13d33c0153401 |
|
MD5 | 4b601eec226e345418b3165a0b3a2b10 |
|
BLAKE2b-256 | 39c2560a607aed204e4cac636d071817915770436513c95f2e0232c034a0d446 |