Python package for analysis of (InSar) data cubes
Project description
InsarViz is a project dedicated to the visualisation of InSar data.
The ts_viz app is designed to visualize and interactively analyze time-series (datacubes) from InSAR data processing chains.
The full documentation is available here:
https://deformvis.gricad-pages.univ-grenoble-alpes.fr/insarviz
Installation
Detailed installation instructions can be found here
How to cite
If you use InsarViz for your project, please consider citing this paper
Contact
If you need help or have ideas for further developments, you can contact: insarviz-sos@univ-grenoble-alpes.fr
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 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 insarviz-3.0.2.2.tar.gz.
File metadata
- Download URL: insarviz-3.0.2.2.tar.gz
- Upload date:
- Size: 405.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bb25c4c9da2e496af7fe5452123b4022d6050cef804ae24f0844f3da43171653
|
|
| MD5 |
a8b5237539d84de75e600d9592f65626
|
|
| BLAKE2b-256 |
fbba0716486249dbdde920bfcd1503420f82ba231896184831b9dd05fb8e9049
|
File details
Details for the file insarviz-3.0.2.2-py3-none-any.whl.
File metadata
- Download URL: insarviz-3.0.2.2-py3-none-any.whl
- Upload date:
- Size: 398.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d7595ba1cdca5e2f2254a79b866d682af84a80da9166428a68000906a8291c2b
|
|
| MD5 |
06ed0e63b2e6483cc8a52556be62e0d4
|
|
| BLAKE2b-256 |
87c0a30c5eb3d5027be43660ace6a96f8a0bf77a92d8b373ef7b16a1b6634df5
|
