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-1.5.3-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 306e536b69ce480358d22527a655cd4523232c3b4971e994c183f55a7c0f889f |
|
MD5 | 2860d24b91ba3fbd56b67f2fdc7cbf65 |
|
BLAKE2b-256 | e2d437ebcf6a5f15343b2ac6caf81665250b909ef7445fdd931d584927849d3e |
Hashes for landlab-1.5.3-cp36-cp36m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cf7bf3c9161eefd46a989df967ce3cf493a925843a37e149814464edd53a035d |
|
MD5 | 7838a571de6d7bfc31ea0fb0308b5289 |
|
BLAKE2b-256 | 8529db695b0b696cbfc304a3f766b0248012025be572209df00d4308e758b739 |
Hashes for landlab-1.5.3-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a335705f7ed52880a7842c79fc90b8fa432edff8e32500de1589aba911adc383 |
|
MD5 | f84fa84a43fa5bbd6deb249ad7364f43 |
|
BLAKE2b-256 | ba7cb8d9b9633374ec04cd40f78a37899933d6baac76c9b4acf8c74881305688 |
Hashes for landlab-1.5.3-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d29be1cd50b7503040456aaf20dd3adf3ea7e4ed5b5b94ccffecad4336ff8590 |
|
MD5 | db45ed6d1c1734351edeaa080368286d |
|
BLAKE2b-256 | b7a6b3f6f905d1b419390718f84504a73351c6b8b2a3b18290b54d2978f95df6 |
Hashes for landlab-1.5.3-cp35-cp35m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 70faa39fb97625da8243941f3da942922865312b0f954b56bff0e660d747ce06 |
|
MD5 | 680fcf03556b884d9929f81440f578a9 |
|
BLAKE2b-256 | 1f19e0da739981bc596cd325fb7e260c1a7b322e847740ff8cfec88dca97cc29 |
Hashes for landlab-1.5.3-cp35-cp35m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 536f640df7e6da501332b73961b5fc71283fb27d7819aadf359fd6203d0b9b98 |
|
MD5 | cc6db03dd1e6f3695b92f0d438636036 |
|
BLAKE2b-256 | 43d54965ea552fce90e78f2b6d7f2263dad188caccd48da6ab62e4dbdcd3f4ba |
Hashes for landlab-1.5.3-cp27-cp27m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fc165770afe4c5e218765f3483892f3cf294276cd711f5e8c436650e7c513cf0 |
|
MD5 | db0515a7b8f3d8ee96c5590b82c25857 |
|
BLAKE2b-256 | 9ade75e398b72c46d66e2b49c7f8a140d94a4323b7ec7c864bac0d29df008fab |
Hashes for landlab-1.5.3-cp27-cp27m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6bea10373078a5770458c7bf913147f03c50d8f960ce47c80773a94bc3dfbd2e |
|
MD5 | 42516e136662a0d69632352c120498cd |
|
BLAKE2b-256 | 502fc63555809752480753b69df9793f9281a0fd5cbcec56b4dcd9898210ada3 |
Hashes for landlab-1.5.3-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a4e377f3f92c5d7fa5ef5832eb2c4043f28a7c763a091c56ca09e7d88b2427bb |
|
MD5 | 54fce407c037933745f876960f52c3f0 |
|
BLAKE2b-256 | c9ab4e05b4728d999917be7d28bf0acacd3741de6fe623bc6e802ddaeb7ffea9 |