udm-setup

Setup data for UDM model. Currenly only method 2 below is operational, with others to be enabled with further updates.

Usage

Three usage patterns:
(1) Generate a grid for rasterising data with (only)
(2) Rasterise vector datasets (input) using a grid
(3) Download and rasterise data from NISMOD-DB API

Methods

(1) Generate a grid

To generate a grid only using a list of LADs or GOR's
<example code here>

(2) Rasterise vector datasets (input) using a grid

Pass a set of files with vector data in (in a format which can be loaded by the python geopandas library). Optionally, can also pass a fishnet/grid file to rasterise with, or one can be generated using 1 of 3 methods and output. Grid generation:
(1) Provide a grid
<example code here>
(2) Provide a list of LAD's or GOR's
<example code here>
(3) Grid based on the input dataset (this could result in a different grid for each dataset)
<example code here>

(3) Download and rasterise data from NISMOD-DB API

Use NISMOD-DB API to download data and rasterise.
<example code needed>

Expected environmental variables

API_URL=
USERNAME=
PASSWORD=