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rabpro

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longitudinal river profiles, global watershed delineation, watershed stats

Setup

Software

conda env create -f environment.yml
source activate rabpro

# set use-feature to silence deprecation warning
# pip install --use-feature=in-tree-build . 

Data

Locate the MERIT DEM "tile" of interest and run Data/scripts/get_merit_dem.py with username and password arguments.

python Data/scripts/get_merit_dem.py n30w090 <username> <password>

Download Hydrobasins levels 1 and 12 using Data/scripts/get_hydrobasins.py

Usage

command line

python rabpro/run_rabpro.py

python

import geopandas as gpd
import rabpro
from rabpro import utils
from rabpro.subbasin_stats import Dataset

# verify pathing setup "works"
# utils.get_rabpropath()
# utils.get_datapaths()

coords_file = gpd.read_file(r"tests/test_data/Big Blue River.geojson")
rpo = rabpro.profiler(coords_file)
rpo.delineate_basins() # requires hydrobasins levels 1 and 12
# name = "test"
# rpo.basins.to_file('Data/gaugebasin_shp/'+name+'.shp',driver='ESRI Shapefile')
rpo.elev_profile() # requires merit-dem (this ex. requires n30w090 [elv, fdr, upa, wth])
rpo.basin_stats([Dataset("JRC/GSW1_3/GlobalSurfaceWater", "occurrence")]) # requires Google Earth Engine access

Metadata

Release files for rabpro 0.2.2

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Source distribution for rabpro 0.2.2
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