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Remove logo again #137

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Jan 20, 2023
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Remove logo again #137

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9378bfe
Remove logo again
rubencalje Jan 19, 2023
45bbaa2
Add logo to index.rst
rubencalje Jan 19, 2023
63d0c83
Change type to geom_type and improve docs
rubencalje Jan 19, 2023
4da23fa
Multiple improvements
rubencalje Jan 19, 2023
ca2a47e
Split 'resampling grid data' and 'gridding vector data'
rubencalje Jan 19, 2023
c70d51b
Remove nbsphinx_link in dependencies of the docs
rubencalje Jan 19, 2023
d94f920
Fix sphinx rtd theme to 1.0.0, so menu functions again
rubencalje Jan 19, 2023
4e14ff9
try logo again
rubencalje Jan 20, 2023
3b8ad3d
Update 07_gridding_vector_data.ipynb
rubencalje Jan 20, 2023
b33a757
Update README.md
rubencalje Jan 20, 2023
89e62de
Update README.md
rubencalje Jan 20, 2023
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20 changes: 6 additions & 14 deletions README.md
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Python package with functions to process, build and visualise MODFLOW models in the Netherlands.

The functions in nlmod have four main objectives:
1. Create and adapt the temporal and spatial discretization of a MODFLOW model using an xarray Dataset. These functions are contained in `nlmod.dims`
2. Read data from external sources, project this data on the modelgrid and add this data to an xarray Dataset. These functions are contained in `nlmod.read`
3. Use data in an xarray Dataset to build modflow packages using flopy. The functions for modflow 6 packages are in `nlmod.gwf`, for modpath in `nlmod.modpath`.
4. Visualise modeldata in Python or GIS software. These functions are contained in `nlmod.plot` and `nlmod.gis`.

External data sources that can be read are:
- AHN, digital elevation model
- bgt, surface water level geometries
- Geotop, subsurface model
- Jarkus, bathymetry
- KNMI, precipitation and evaporation
- REGIS, subsurface model
- Rijkswaterstaat, surface water polygons
- multiple waterboards, surface water level data
1. Create and adapt the temporal and spatial discretization of a MODFLOW model using an xarray Dataset (`nlmod.dims`).
2. Download and read data from external sources, project this data on the modelgrid and add this data to an xarray Dataset (`nlmod.read`).
3. Use data in an xarray Dataset to build modflow packages using FloPy (`nlmod.gwf` for Modflow 6 and `nlmod.modpath` for Modpath).
4. Visualise modeldata in Python (`nlmod.plot`) or GIS software (`nlmod.gis`).

More information can be found on the documentation-website: https://nlmod.readthedocs.io/.

## Installation

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