Plugin-based component modeling tool.
Project description
landlab
The Landlab project creates an environment in which scientists can build a numerical landscape model without having to code all of the individual components. Landscape models compute flows of mass, such as water, sediment, glacial ice, volcanic material, or landslide debris, across a gridded terrain surface. Landscape models have a number of commonalities, such as operating on a grid of points and routing material across the grid. Scientists who want to use a landscape model often build their own unique model from the ground up, re-coding the basic building blocks of their landscape model rather than taking advantage of codes that have already been written.
More information can be found at the website:
This open-source manuscript is a gateway for entering the Landlab world:
http://www.earth-surf-dynam.net/5/21/2017/
After installation, tests can be run with:
$ python -c ‘import landlab; landlab.test()’
The most current development version is always available from our git repository:
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
Built Distributions
Hashes for landlab-1.5.0-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c73dda248db01dc3c6352db57624ba4c7479db36f5260d2ae18104529c57ab2d |
|
MD5 | 7811d1ba0dd3474b7462aebce18a7403 |
|
BLAKE2b-256 | 448152034ca8bfdd01a89692cdc362e65753efd16ff0b1465627c54fd49db781 |
Hashes for landlab-1.5.0-cp36-cp36m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35ec27698273500439cab9222a76cb0a2eaab51add52c4db06a90eaae58e9692 |
|
MD5 | d695e69ff2e25ea20658608aa1581dcd |
|
BLAKE2b-256 | e09c9cefe634bdc6c81df68da433fb688d5d5d56ed816a3b40e4da1a759935b5 |
Hashes for landlab-1.5.0-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 760393fc5380e7c763d0e3db2b0d328f4d984c276bc82d62316d9b9ee91e0228 |
|
MD5 | c3b7bf6dc04bd69cf1650dff45a22057 |
|
BLAKE2b-256 | 01a61991d4ad619bfe6d0f905650528c1e62452efb970568ee1915cb8efa95b4 |
Hashes for landlab-1.5.0-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f28a4551b81ecc5b543bd4c034acd4b623f8c7f407b0fca42016d575851a9511 |
|
MD5 | a89b0c365430711ee7f027ac0b2e855a |
|
BLAKE2b-256 | 9c3988d6c803a9eb10633f4760cd5ad658d9a1fd3b46d702a2a5d00f232b51a9 |
Hashes for landlab-1.5.0-cp35-cp35m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46caecece18d7df3b0f15039b6bc52b30a110afaefb318a1974fa2ab4d9fc5fd |
|
MD5 | a22f48442e531f3b9285e815c4a52ed3 |
|
BLAKE2b-256 | 42d99a65749f35119292e03fd4318e73d27057e99d27280f3d0e09f53412f995 |
Hashes for landlab-1.5.0-cp35-cp35m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 86c164680a5b43c46b807d69b3a5455c14d042db9d90a362c986c6af72e617e9 |
|
MD5 | 7240617fd0af97f1acd2393261a94a42 |
|
BLAKE2b-256 | 729a0ff84c62a132220be19188937aac08b363407f5c2ba767db1d9c981ca381 |
Hashes for landlab-1.5.0-cp27-cp27m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 503d5d23501dcde940ef61db9f8e40b7da68e5f5569f943148eb8fc5823a07ee |
|
MD5 | d9c8a885de1f5a06f181da1e493e1251 |
|
BLAKE2b-256 | 6d0bff0504761d2a8d74af371d8d95d4ab09b76084a8c7e660ca7b2780990489 |
Hashes for landlab-1.5.0-cp27-cp27m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d5e762df265bb89e0e796cf12cc886866ab8010dc1ba5e693e1a2ee6ee503fde |
|
MD5 | a1b49c9abca769d880f698f1fd739540 |
|
BLAKE2b-256 | bb9bc0591487d0e524ccb539c57f7cb65e5842dec792a58363bcf1fcfbea7265 |
Hashes for landlab-1.5.0-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 564f2a61bcee847a66c60bccfb932c8b7f30ffd31eb546df39714578379139c9 |
|
MD5 | 402750830f5532f32e881ecac34b35f4 |
|
BLAKE2b-256 | dad8635b06cf815f4528282c303c25f073de990e09fa060ec98e4beb9f462635 |