Data

Tools

Indexes

Applications

Experiments

Open Source Science

geothermal_esda

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.

https://github.com/jds485/geothermal_esda

Science Score: 28.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary

Keywords

bht exploratory-data-analysis exploratory-data-visualizations geothermal heat-flux nonparametric-statistics outlier-detection sensitivity-analysis spatial-analysis spatial-data-analysis spatial-data-science
Last synced: 6 months ago · JSON representation ·

Repository

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.

Basic Info
  • Host: GitHub
  • Owner: jds485
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 19.4 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
bht exploratory-data-analysis exploratory-data-visualizations geothermal heat-flux nonparametric-statistics outlier-detection sensitivity-analysis spatial-analysis spatial-data-analysis spatial-data-science
Created about 9 years ago · Last pushed about 7 years ago
Metadata Files
Readme License Citation

README.md

Geothermal_ESDA

This repository contains exploratory spatial data analysis (ESDA) functions and scripts that were used in Smith et al. "Exploratory Spatial Data Analysis for Geothermal Resource Assessments: An Appalachian Basin Case Study" paper submitted to Geothermics.

These functions are developed for ESDA on geothermal spatial datasets and are applicable to other spatial datasets.

This repository depends on functions located in the following repositories:

calvinwhealton -> geothermal_pfa -> outliers

jds485 -> GeothermalDataAnalysisCrossSections

The methods used in ESDA_Main.R include:

0) Identification and processing of data in the same spatial location i) Nugget semi-variance calculation for data in same exact spatial location ii) Plot of similarity for data in the same locations based on a covariate (depth of measurement)

1) Local Median/Mean Deviation (LocalDevition.R)

2) Local Spatial Outlier Analysis (see geothermal_pfa repository for R script containing the functions) i) Plots by depth slices

3) Q-Q plots

4) Nonparametric Local Outlier Analysis i) KS test on depth rank distribution of outliers in local neighborhoods ii) Chi-squared test for depth bins

Additional Contributions: 1) Discrete Color Function for Map Making (ColorFunctions.R)

2) Sensitivity analysis of outlier algorithm for this dataset (OutAlgoSensitivity.R)

3) Jackknife confidence intervals for semi-variograms (JackknifeSemivariogramConfInts.R)

4) Diagnostic plots to discover operators that had systematically rogue data (bias and/or variance) as a result of their data recording behavior. (OperatorDiagnostics.R)

Note on running script: Input data used to run the script for Smith et al. is provided in the repository. Output data is too large to host on Github. Please write to Jared Smith (jds485@cornell.edu) if you would like to have the output Rdata file.

Owner

  • Name: Jared D. Smith
  • Login: jds485
  • Kind: user
  • Location: Reston, VA
  • Company: United States Geological Survey

Citation (Citation) 

Please cite this repository as:

Smith, J.D., (2018). Geothermal_ESDA. Github Repository. https://github.com/jds485/Geothermal_ESDA

GitHub Events

Total
Last Year

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 45
  • Total Committers: 2
  • Avg Commits per committer: 22.5
  • Development Distribution Score (DDS): 0.267
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jared j****5@c****u 33
Jared D Smith j****3@o****t 12
Committer Domains (Top 20 + Academic)
optonline.net: 1 cornell.edu: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels