This repository contains various geostatistics projects that I have worked on. Each project focuses on different aspects of geostatistics, including Bayesian mapping, collocated cokriging, kriging, and more. The aim is to apply geostatistical methods to real-life data and analyze spatial patterns.

• /Geostatistics/bayesmapping/

  • bayesmapping.ipynb: Jupyter notebook for Bayesian mapping.
  • BLdata.csv: Data file used in Bayesian mapping.
  • BLgrid.csv: Grid data for Bayesian mapping.

• /Geostatistics/collocatedcokriging/

  • collocatedcokriging.ipynb: Jupyter notebook for collocated cokriging.
  • cluster1.out, true.out, varcalc_Cluster.out, varcalc_Cross.out, varcalc_YDATA.out, x.out, y.out, ydata.out: Output files from collocated cokriging analysis.

• /Geostatistics/introkrigingplan/

  • introkrigingplan.ipynb: Jupyter notebook introducing kriging.

• /Geostatistics/mds/

  • mds.ipynb: Jupyter notebook for multidimensional scaling.
  • mining_company_data.csv: Data file for multidimensional scaling.

• /Geostatistics/nuggeteffect/

  • nuggeteffect.ipynb: Jupyter notebook analyzing the nugget effect.

• /Geostatistics/pairwiserelative/

  • pairwiserelative.ipynb: Jupyter notebook for pairwise relative analysis.

To run the notebooks, you need to have Jupyter installed. You can install Jupyter using pip:

pip install jupyter

Navigate to the directory containing the notebook you want to run and start Jupyter:

jupyter notebook

Open the notebook in your browser and run the cells to execute the code.