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-1.5.2-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5fa9f52c6196df3af0c41a4ce468a23f66897ce237fd7a636e25ab856ec89a16 |
|
MD5 | f920961a6f2218da418820a5a761a326 |
|
BLAKE2b-256 | 19422d56c11054ec7aec35d16aa3a51463e79fc644ab86c27f2b226ece08c765 |
Hashes for landlab-1.5.2-cp36-cp36m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dfdf40f63e612cd3a7234e769a4484b6c4f7551cf20e929449b4ec1aa09aff80 |
|
MD5 | e8f189127bc513b3c78981850e052f95 |
|
BLAKE2b-256 | 258ac9b35d2518a230ed27c2fc38100b27d7e528485a78c73c656356a4256f2c |
Hashes for landlab-1.5.2-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 367d5adaf00f9231eabcb64d51f00c200d3511192844b5986e48462790ca4040 |
|
MD5 | b821186d3815c619255f169f0c9cebe6 |
|
BLAKE2b-256 | bca9b8d0a7dee476f138b80045b1077d3e67392cfa2a6f24c71342afd1c2da1a |
Hashes for landlab-1.5.2-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5396763c6a153db5f10aa2c838b51aabac44579075ee9a62d039c488a3aefb72 |
|
MD5 | 02f416020e80566d6c524a142030cbd4 |
|
BLAKE2b-256 | 08ae72ebc386962978af4cfbaf40629bfafb58a611a81976efcd55a6b2e6f201 |
Hashes for landlab-1.5.2-cp35-cp35m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4843f99c915d4bbc6baa7da34a2371167d27341c283f8037ae0889ed20283be4 |
|
MD5 | f7cc124e87daa6e32c2e984ea98ccba7 |
|
BLAKE2b-256 | ac0be0e9c69b8167efbd1b22d174ba555a508308cffc894ed13d6a0e489ac29e |
Hashes for landlab-1.5.2-cp35-cp35m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f8f511dc66d0613b0cecf238b8e5b65c37271a0bfc52c4a4d8435cfafe0b6522 |
|
MD5 | f18807855f4b364124dfadaf110b7806 |
|
BLAKE2b-256 | 762be8781863ee8ed8da57999d8dc15e635bebedc719050ea9706aa979837446 |
Hashes for landlab-1.5.2-cp27-cp27m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d7c24a1765db39f58d15cbf688d3cc20724ab14caaf31b8d05d6612f57690d92 |
|
MD5 | a9128404cc8035241013babef8f6622d |
|
BLAKE2b-256 | 558069b31cd520e8f749eea6a35b9f288a543fb0b6c8b74ffe0dcd39ab5ae4fc |
Hashes for landlab-1.5.2-cp27-cp27m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5830834d3e3128dea91a9b69f6978dde5fc993cb0c3f620efcbc611118fe6a3f |
|
MD5 | 538615d901e4d4d07f46b0e0cf87bdee |
|
BLAKE2b-256 | ac025af00c33a2889b728abbb964aabf88f530c8635547a5b8d3e5681c287487 |
Hashes for landlab-1.5.2-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a76799bb13e82a33d9160e469bad56764384c91b0dd96477fe6336fc342c79bc |
|
MD5 | 03cc50fd4269ecf3c920306d5783156f |
|
BLAKE2b-256 | a5b445b347a7a07486b34fddc3c2942e90df9d11058f7af82da9ffc5466cf5b9 |