Update installation docs (#67)

docs/installation.md

@@ -6,59 +6,34 @@ The geospatial package has many dependencies, such as [GeoPandas](https://geopan
 
 [![Introducing geospatial](images/thumbnail.png)](https://youtu.be/Y1xB7d2VbFY "Introducing geospatial")
 
-### Installing using uv
+## Installing using uv
 
 [uv](https://docs.astral.sh/uv/) is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install `geospatial` using `uv` as follows:
 
 ```bash
 uv pip install geospatial
-uv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj
 ```
 
-## Installing with Anaconda/Miniconda
-
-To install geospatial and all its dependencies, we recommend you use the [conda](https://conda.io/en/latest) package manager. This can be obtained by installing the [Anaconda Distribution](https://www.anaconda.com/distribution) (a free Python distribution for data science), or through [Miniconda](https://docs.conda.io/en/latest/miniconda.html) (minimal distribution only containing Python and the conda package manager). See also the [installation docs](https://conda.io/docs/user-guide/install/download.html) for more information on how to install Anaconda or Miniconda locally.
-
-### Using the conda-forge channel
-
-Geospatial is available on the [conda-forge](https://anaconda.org/conda-forge/geospatial) channel, a community effort that provides [conda packages](https://conda-forge.org) for a wide range of software.
+If you are on Linux and want to install GDAL, you can use the following command:
 
 ```bash
-conda install -c conda-forge geospatial
-```
-
-### Creating a new conda environment
-
-Creating a new environment is not strictly necessary, but given that some geospatial dependencies might have a version conflict with other geospatial packages in an existing conda environment, it is a good practice to install geospatial and its dependencies in a clean environment starting fresh.
-
-The following commands create a new conda environment with the name `geo` and install geospatial and its dependencies (e.g., GeoPandas, localtileserver) in it:
-
-```bash
-conda create -n geo python=3.9
-conda activate geo
-conda install geopandas
-conda install geospatial -c conda-forge
+uv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj
 ```
 
-**Important note:** If you are using Windows, we advise you to closely follow the installation instructions above to install GeoPandas from the default conda channel (`conda install geopandas`) rather than from the conda-forge channel. This can avoid a potential `spatialindex_c-64.dll` error when using GeoPandas ([source](https://github.com/geopandas/geopandas/issues/1812)). If you are using Linux or macOS, it is okay to install all geospatial dependencies from the conda-forge channel with the following command:
-
-```bash
-conda install -c conda-forge geospatial
-```
+For windows and macOS users, you can install GDAL using mamba as shown in the following section.
 
-### Using Mamba
+## Installing using conda
 
-When installing packages using the conda package manager, sometimes it can take a while for conda to resolve dependencies. If it takes too long or fails to resolve dependencies, you can try using the [Mamba](https://mamba.readthedocs.io/en/latest) package manager to install geospatial and its dependencies. Mamba is a fast, robust, and cross-platform package manager. It runs on Windows, macOS, and Linux, and is fully compatible with conda packages and supports most of conda’s commands. Once Mamba is installed in a conda environment, you can then simply replace any `conda` command with `mamba`. For example, to install geospatial and its dependencies with Mamba, you can use the following commands:
+To install geospatial and all its dependencies, we recommend you use the [mamba](https://mamba.readthedocs.io/en/latest/user_guide/mamba.html) package manager. This can be obtained by installing the [Anaconda Distribution](https://www.anaconda.com/download) (a free Python distribution for data science), or through [Miniconda](https://docs.anaconda.com/miniconda/) (minimal distribution only containing Python and the conda package manager).
 
 ```bash
-conda create -n geo python=3.9
+conda create -n geo python
 conda activate geo
 conda install -c conda-forge mamba
-mamba install geopandas
 mamba install -c conda-forge geospatial
 ```
 
-## Installing with pip
+## Installing using pip
 
 geospatial is also available on [PyPI](https://pypi.org/project/geospatial). It can be installed with pip using the following command: