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-1.3.1-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 14288dd6f35d26d31fdcda1300e4057c1ee8f9063fea4062c3fffd72e63eb83c |
|
MD5 | 426e7635cf6661f3a8f2a60de8150301 |
|
BLAKE2b-256 | 42b0f5c28822961f695cb0c688c5a2f0ecff5fd3e5d0b8848a7f9ef4b7add4e9 |
Hashes for landlab-1.3.1-cp36-cp36m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 09caef4a03ec69de87038b1d37aecfa8ceefd893f6e17bb9d06dde65f20a8a4b |
|
MD5 | 0a1ec51f552fd1c43d2f89d0ec02b127 |
|
BLAKE2b-256 | 8f7f0d4b3cc484e32995de5af97a60a411a6cac706632b04a8cac92aeff184f4 |
Hashes for landlab-1.3.1-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cea3ddb5cb473be58ada1b01389cbec209ee45d961c630b4c79c1fb9b0325fe2 |
|
MD5 | e75595fde5c1b41410576681eb15191a |
|
BLAKE2b-256 | e0109a2972eb0782f0d6f18732a87d56a34739badbdcdf21b1a78d5fa6787dbb |
Hashes for landlab-1.3.1-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cf2c0b97398d6250054a8d958b2ef89a0e0fdff61eb360f739bbcdac22bcd001 |
|
MD5 | f0ae956dd0905140f704a492d37fed70 |
|
BLAKE2b-256 | 3b45337185e138f51c9c51fe3e624bc1caabfacf1658e46f99e476added6f130 |
Hashes for landlab-1.3.1-cp35-cp35m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b566fc4224aa2ee02bc16249d5a05a74b81d2cf0cfd6af51ea2657029ef9868 |
|
MD5 | 6e9ca9fc3d6a3080ebf645d60b75613c |
|
BLAKE2b-256 | f1ed30d620607260cf11cbf15755ff707be41fcffc5736179f29afadf5dd2d5c |
Hashes for landlab-1.3.1-cp35-cp35m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d5c59c54cb489782fc583ccf6779869410d1addb0553136bf1ec168751a6c20 |
|
MD5 | eccd1f7f46bbe7b98d72df689c7f8c16 |
|
BLAKE2b-256 | 598f36b515c8a2949c836a256644bd162e620d7341c970b1028ba0917a9dd97f |
Hashes for landlab-1.3.1-cp27-cp27m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c6283b884affcdf11338162d39e6405b1d2e615645e299f21bc97f3c6dd63ea5 |
|
MD5 | e0772a9c1d96ced86b38ccf9c3a6251e |
|
BLAKE2b-256 | e8d79feeec4ef97667b2e8443aab865b33fd18e53dabf79194b76a7b74df205b |
Hashes for landlab-1.3.1-cp27-cp27m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1fa60727f7dcc154ddbb2c754cf2ed3c0fdd750e5995b81564b6443459419df1 |
|
MD5 | 3c47b698b3d41c9ce8caa0d9a0a68833 |
|
BLAKE2b-256 | 1e7d38c7d684c719b3f147fd5bcc442b1b87025e96ce9c241e5144fee6cd8652 |
Hashes for landlab-1.3.1-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 522b1326def35b15be6760a1f0ac95045e7611620390cc995780a70cdfe2a134 |
|
MD5 | 3fad91f25adf29c1849c13320c6ef0e7 |
|
BLAKE2b-256 | b8e3beb7b7c616b893d2b1a2135aa574e2af9abea9171c58c0a7099fac1d33d7 |