Update branch with master

.github/ISSUE_TEMPLATE/bug-report.md

@@ -0,0 +1,25 @@
+---
+name: "Bug report"
+about: Report a bug or other issue
+title: "[Bug]: "
+labels: bug
+assignees: ''
+
+---
+
+**Describe the bug**
+Describe what the bug or issue is about concisely.
+
+**How to reproduce the bug**
+Steps to reproduce the behavior:
+
+**Expected behavior**
+Describe what you expected to happen.
+
+**Environment details**
+ - OS: [e.g., Windows, MacOS]
+ - Python Version: [e.g., 3.9]
+ - Package Version: [e.g., 1.2.0]
+
+**Additional information**
+Add any other context about the problem here. Screenshots or other additional information can be attached too.

.github/ISSUE_TEMPLATE/tool-request.md

@@ -0,0 +1,26 @@
+---
+name: Tool request
+about: Suggest a new tool to EIS toolkit
+title: "[New tool] -"
+labels: enhancement
+assignees: ''
+
+---
+
+**Tool description**
+Please describe what the tool does. Ex. "This tool calculates distances to known deposits"
+
+**Justification and importance**
+Please give reasoning why the tool is needed. Is the tool essential or a nice-to-have? 
+
+**Tool category and type** 
+The current categories are the directories under `eis_toolkit` package in this repository. You may also suggest a new category if a suitable one doesn't exist.
+
+**Implementation details**
+What does the tool take as input and what is its output? Ex. "The tool takes raster data as input and outputs decimal numbers as an array". Is there a ready made library that already contains the desired functionality or should it be implemented from scratch? Is the library already part of EIS toolkit?
+
+**Who will implement the tool?**
+Are you ready to implement the tool yourself or will you hope someone else to do it?
+
+**Additional information**
+Any additional information e.g. usage examples, screenshots, links to scientific studies and other documents.

.github/workflows/conda.yml

@@ -3,15 +3,16 @@ name: Conda
 on:
   pull_request:
   push:
-    branches: [master, main]
+    # branches: [master, main]
+    branches: [main]
 jobs:
   conda-test:
     name: Conda Install & Test
     strategy:
       fail-fast: false
       matrix:
         python-version: ["3.9"]
-        platform: ["ubuntu-latest", "windows-latest"]
+        platform: ["ubuntu-latest"]
 
     runs-on: ${{ matrix.platform }}
     defaults:
@@ -27,6 +28,9 @@ jobs:
           auto-activate-base: false
           mamba-version: "*"
           channel-priority: true
+      - name: Set GDAL environment variable for Windows
+        if: runner.os == 'Windows'
+        run: echo "USE_PATH_FOR_GDAL_PYTHON=YES" >> $GITHUB_ENV
       - name: Print conda environment
         run: |
           # Print environment
@@ -39,3 +43,4 @@ jobs:
           python -c 'import eis_toolkit'
           # Run unittests with pytest
           pytest -v
+

.github/workflows/docker.yaml

@@ -1,7 +1,8 @@
 on:
   pull_request:
   push:
-    branches: [master, main]
+    # branches: [master, main]
+    branches: [main]
 jobs:
   docker-test:
     name: Docker install and test

.gitignore

@@ -164,3 +164,6 @@ cython_debug/
 tests/data/local/**
 !tests/data/local/**/
 !tests/data/local/**/.gitkeep
+
+#configuration files
+.vscode/launch.json

README.md

@@ -23,8 +23,6 @@
   ·
   <a href="#usage">Usage</a>
   ·
-  <a href="#roadmap">Roadmap</a>
-  ·
   <a href="#contributing">Contributing</a>
   ·
   <a href="#license">License</a>
@@ -34,11 +32,11 @@
 EIS Toolkit is a comprehensive Python package for mineral prospectivity mapping and analysis. EIS Toolkit is developed as part of [EIS Horizon EU project](https://eis-he.eu/), which aims to aid EU's efforts in the green transition by securing critical raw materials. EIS Toolkit serves both as a standalone library that brings together and implements relevant tools for mineral prospectivity mapping and as a computational backend for [EIS QGIS Plugin](https://github.com/GispoCoding/eis_qgis_plugin).
 
 > [!NOTE]  
-> This repository is still in development. Check the [wiki page of EIS Toolkit](https://github.com/GispoCoding/eis_toolkit/wiki) for list of tools and [roadmap](#roadmap) for more details about the project.
+> This repository is still in development. Check the [wiki page of EIS Toolkit](https://github.com/GispoCoding/eis_toolkit/wiki) for list of tools.
 
 
 ## Installation
-We recommend installing EIS Toolkit in an empty virtual environment to ensure compatibility between package versions. 
+EIS Toolkit requires Python 3.9 or 3.10. We recommend installing EIS Toolkit in an empty virtual environment to ensure compatibility between package versions. 
 
 EIS Toolkit is available in conda-forge and PyPI and can be installed with one of the following commands.
 
@@ -48,10 +46,6 @@ pip install eis_toolkit
 
 ```console
 conda install -c conda-forge eis_toolkit
-# On Windows, tensorflow must be installed from the anaconda channel
-# Consequently, channel priority must be flexible, which can be explicitly
-# done using --no-channel-priority
-conda install -c conda-forge eis_toolkit --no-channel-priority
 ```
 
 A Python wheel can be downloaded also from the [releases page](https://github.com/GispoCoding/eis_toolkit/releases) of this GitHub repository.
@@ -101,11 +95,6 @@ eis <tool-name> --help
 > [!NOTE] 
 > Please note that the CLI has been primarily designed to communicate with external programs and may be clunky in direct use.
 
-## Roadmap
-
-- Milestone 1: **Beta release 0.1** (November 2023). The toolkit should have the basic funtionalities required for a full MPM workflow. Official testing phase begins. The plugin will be still under active development.
-- Milestone 2: **Release 1.0** (May 2024). Most features should be incorporated at this time and the toolkit useful for actual MPM work. Testing will continue, more advanced methods added and the user experience refined.
-
 ## Contributing
 
 We welcome contributions to EIS Toolkit in various forms:

docs/raster_processing/proximity_to_anomaly.md

@@ -0,0 +1,3 @@
+# Proximity to anomaly
+
+::: eis_toolkit.raster_processing.proximity_to_anomaly

docs/training_data_tools/points_to_raster.md

@@ -0,0 +1,3 @@
+# Points to raster
+
+::: eis_toolkit.training_data_tools.points_to_raster

docs/training_data_tools/random_sampling.md

@@ -0,0 +1,3 @@
+# Random sampling
+
+::: eis_toolkit.training_data_tools.random_sampling

docs/vector_processing/proximity_computation.md

@@ -0,0 +1,3 @@
+# Proximity computation
+
+::: eis_toolkit.vector_processing.proximity_computation

eis_toolkit/__init__.py

@@ -1 +1 @@
-__version__ = "0.1.0"
+__version__ = "1.1.5"