A slim python library to link (seafloor) maps and sampling data with prediction methods. Needs scipy, numpy, matplotlib, pykrige, osgeo, rasterio.
Project description
Do you have 2D spatial data (aka maps) and sampling data from locations inside these maps? Do you maybe want to extrapolate sampling data (aka measurements) to the full extent of a map? Then you probably need a better toolkit than this but pyquickmaps might help you to achieve a quick’n’dirty result.
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 Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyquickmaps-0.2.0-py3-none-any.whl.
File metadata
- Download URL: pyquickmaps-0.2.0-py3-none-any.whl
- Upload date:
- Size: 8.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2c799b8d4a4ab9f87845218629c3e3fcfaf7cee470971193ea85c6452d5fcf58
|
|
| MD5 |
eea169c30c6f1a2b6eee512700849e49
|
|
| BLAKE2b-256 |
2b7c827ccb205ea0beda25348a3d7309f3dbd69f3798bd74afdf1102a32ac0f4
|