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Recommend using Mamba to install CLIMADA (#809)
* Update installation instructions. * Improve distinction between Mamba and Conda * Recommend using Mamba instead of Conda. This includes downloading Miniforge instead of the Anaconda distribution. Warn about using conda. * Add warning about removing a previous "simple" installation when switching to "advanced". * Clarify nomenclature of "workspace directory". * Mention that pip package should also be reinstalled * Add Mamba instructions to README.md * Update CHANGELOG.md Co-authored-by: Sarah Hülsen <[email protected]>
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CHANGELOG.md

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- Add `shapes` argument to `geo_im_from_array` to allow flexible turning on/off of plotting coastline in `plot_intensity`. [#805](https://github.com/CLIMADA-project/climada_python/pull/805)
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- Update `CONTRIBUTING.md` to better explain types of contributions to this repository [#797](https://github.com/CLIMADA-project/climada_python/pull/797)
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- The default tile layer in Exposures maps is not Stamen Terrain anymore, but [CartoDB Positron](https://github.com/CartoDB/basemap-styles). Affected methods are `climada.engine.Impact.plot_basemap_eai_exposure`,`climada.engine.Impact.plot_basemap_impact_exposure` and `climada.entity.Exposures.plot_basemap`. [#798](https://github.com/CLIMADA-project/climada_python/pull/798)
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- Recommend using Mamba instead of Conda for installing CLIMADA [#809](https://github.com/CLIMADA-project/climada_python/pull/809)
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### Fixed
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README.md

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## Getting started
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CLIMADA runs on Windows, macOS and Linux.
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The released versions of the CLIMADA core can be installed directly through Anaconda:
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The released versions of CLIMADA are available from [conda-forge](https://anaconda.org/conda-forge/climada).
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Use the [Mamba](https://mamba.readthedocs.io/en/latest/) package manager to install it:
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```shell
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conda install -c conda-forge climada
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mamba install -c conda-forge climada
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```
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It is **highly recommended** to install CLIMADA into a **separate** Anaconda environment.
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It is **highly recommended** to install CLIMADA into a **separate** Conda environment.
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See the [installation guide](https://climada-python.readthedocs.io/en/latest/guide/install.html) for further information.
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Follow the [tutorials](https://climada-python.readthedocs.io/en/stable/tutorial/1_main_climada.html) in a Jupyter Notebook to see what can be done with CLIMADA and how.

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