A visualization tool for 3D datasets where the goal is to produce and analyze heatmaps or contour maps in 2D and 3D i.e geophysical data (gravity, magnetics, etc), topographic data, geospacial data. The tool can take input files with 3 columns (x,y,z) in text format or csv. Attached are 3 sample data sets that illustrate how input files should look like. The tool is a work in progress, please feel free to notify me of any errors, bugs, or suggestions for features that could be added.

To start using the dashboard type "python EarthMod_gui.py" into a terminal window.

This tool requres the instalation of pyqtgraph, pandas, numpy, scipy, pykrige, sklearn, and matplotlib. These packages and their dependencies are best handeled by anaconda. The following is a step by step procedure on how to install these packages.

1. install anaconda (2.7) (https://www.anaconda.com/download/)
2. install pyqtgraph through anaconda (https://anaconda.org/anaconda/pyqtgraph)
3. install sklearn through anaconda (https://anaconda.org/anaconda/scikit-learn)
4. install pykrige through anaconda or pip (https://pykrige.readthedocs.io/en/latest/overview.html, https://anaconda.org/conda-forge/pykrige)
5. matplotlib, numpy, scipy, and pandas should already be installed with anaconda. You can check by typing "conda list" into a terminal window.

Should you run into problems after isntalling the requered packages, here are the following are the exact versions of said packages. PyKrige 1.3.2, pyqtgraph 0.10.0,
pandas 0.23.1, numpy 1.15.4, scipy 1.1.0, scikit-learn 0.18.2, matplotlib 1.5.1.

Here is a demo video, https://www.youtube.com/watch?v=MYE6ORWXFac&feature=youtu.be