PyLandStats
Overview
Open-source Pythonic library to compute landscape metrics within the PyData stack (NumPy, pandas, matplotlib...)
Features
Read GeoTiff files of land use/cover
import pylandstats as pls
ls = pls.read_geotiff('data/vaud_g100_clc00_V18_5.tif')
ls.plot_landscape(legend=True)
Compute pandas DataFrames of landscape metrics at the patch, class and landscape level
patch_metrics_df = ls.compute_patch_metrics_df()
patch_metrics_df.head()
| patch_id | class_val | area | perimeter | perimeter_area_ratio | shape_index | fractal_dimension |
|---|---|---|---|---|---|---|
| 0 | 1 | 115 | 10600 | 92.17 | 2.409 | 1.130 |
| 1 | 1 | 13 | 2600 | 200.00 | 1.625 | 1.100 |
| 2 | 1 | 2 | 600 | 300.00 | 1.000 | 1.012 |
| 3 | 1 | 69 | 6000 | 86.96 | 1.765 | 1.088 |
| 4 | 1 | 76 | 8800 | 115.79 | 2.444 | 1.137 |
class_metrics_df = ls.compute_class_metrics_df(metrics=['proportion_of_landscape', 'edge_density'])
class_metrics_df
| class_val | proportion_of_landscape | edge_density |
|---|---|---|
| 1 | 7.702 | 4.459 |
| 2 | 92.298 | 4.459 |
Also analyze the spatio-temporal evolution of the landscape:
input_fnames = [
'data/vaud_g100_clc00_V18_5.tif',
'data/vaud_g100_clc06_V18_5a.tif',
'data/vaud_g100_clc12_V18_5a.tif'
]
sta = pls.SpatioTemporalAnalysis(
input_fnames, metrics=[
'proportion_of_landscape',
'edge_density',
'fractal_dimension_am',
'landscape_shape_index',
'shannon_diversity_index'
], classes=[1], dates=[2000, 2006, 2012],
)
fig, axes = sta.plot_metrics(
class_val=1,
metrics=['proportion_of_landscape', 'edge_density', 'fractal_dimension_am'],
num_cols=3)
fig.suptitle('Class-level metrics (urban)')
See the pylandstats-notebooks repository for a more complete overview
Installation
To install use pip:
$ pip install pylandstats
Or clone the repo:
$ git clone https://github.com/martibosch/pylandstats.git
$ python setup.py install
1 maintainer
Metadata
1 maintainer
Release files for pylandstats 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pylandstats-0.3.0.tar.gz | 20.8 kB | Details |
Release files / pylandstats-0.3.0.tar.gz
| Download URL | pylandstats-0.3.0.tar.gz |
|---|---|
| Size | 20.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
47dcdba83ed4a07664123a7c8150af4db625ffd4e2dbf6b0dd2fad4b19020b81
|
|
BLAKE2b-256 checksum How to use checksums |
c8b2cf2b8d5178c774ae0ea0d261d0071a1307977f21f99fc287d2bb5a0a3d81
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7
|
