We help researchers work with geospatial data for all their research needs.
Contact Information: Steve Gaughan, Research Facilitator – Applications Specialist – Geospatial Programmer / Analyst (GIS, Spatial Analysis)
stephen.p.gaughan@dartmouth.edu (contact me to schedule a meeting, send questions, etc)
603-646-9524
Locations: By appointment / 4 Currier Place, Hanover, NH 03755 map location
Services (see also examples toward the end of this page) :
- Consulting services, spatial data workflows
- Mapping
- Historical map scanning, data extraction, and transformation
- Geocoding street addresses
- Workshops
- Guest lecturing
- X-hour teaching, case study presentation
- Web-mapping
- Data transformation and data visualization
- ESRI / ArcGIS
- Spatial processing and visualization with R
- Spatial processing and visualization with Python
- SQL database extraction and loading
ArcGIS Online & ESRI tools include ArcGIS Pro, ArcGIS Online, Survey123, ArcGIS Story Maps, ArcMap, ArcGIS Dashboards, ArcGIS WebApps, Web App Builder and more.
Geographic Information Systems are systems to create, store, view, edit, analyze, visualize, and export data that is tied to locations on the earth’s surface.
We support and provide GIS software and training, and our GIS Application Specialist offers expert consultations and assistance.
We teach workshops, typically announced in the first week or two of the term. For a list of workshops, see https://rc-new.dartmouth.edu/index.php/training/our-courses/
Research Contributions, Examples & Case Studies
Footprint evidence of early hominin locomotor diversity at Laetoli, Tanzania Published 01 December 2021 in the Journal Nature
Nature: volume 600, pages 468–471
Ellison J. McNutt, Kevin G. Hatala, Catherine Miller, James Adams, Jesse Casana, Andrew S. Deane, Nathaniel J. Dominy, Kallisti Fabian, Luke D. Fannin, Stephen Gaughan, Simone V. Gill, Josephat Gurtu, Ellie Gustafson, Austin C. Hill, Camille Johnson, Said Kallindo, Benjamin Kilham, Phoebe Kilham, Elizabeth Kim, Cynthia Liutkus-Pierce, Blaine Maley, Anjali Prabhat, John Reader, Shirley Rubin, Nathan E. Thompson, Rebeca Thornburg, Erin Marie Williams-Hatala, Brian Zimmer, Charles M. Musiba & Jeremy M. DeSilva
Nature Volume 600, pages 468–471 https://www.nature.com/articles/s41586-021-04187-7
Surface Contour Extraction, Transformation, and Visualization
National attribution of historical climate damages
Published: 12 July 2022 in the journal Climate Change. Volume 172, article number 40, (2022)
Companion website to “National attribution of historical climate damages”
Published 12 July 2022 in the Journal Climate Change volume 172, Article number: 40 (2022), from Dartmouth’s Climate Modeling and Impacts Group(CMIG). Callahan and Mankin https://doi.org/10.1007/s10584-022-03387-y
https://link.springer.com/article/10.1007/s10584-022-03387-ythese
https://rcweb.dartmouth.edu/CMIG/national_attribution_2022/prod/
Distribution of maps, charts and data tables (.csv format) programmed using DartFS’s web server, HTML, Javascript, PHP, and acknowledgement of Dartmouth’s Research Computing and the Discovery Cluster
New Guinea bone daggers were engineered to preserve social prestige
Nathaniel J. Dominy, Samuel T. Mills, Christopher M. Yakacki, Paul B. Roscoe, and R. Dana Carpenter
Published 25 April 2018 in the Journal Royal Society Open Science
https://doi.org/10.1098/rsos.172067
Publication-quality maps
The Dialogues Bioregional Project: Landscape Ecology in Central Italy from the Sixth Century to the Present
Damiano Benvegnù
Published 31 December 2019 in the Journal Humanist Studies & the Digital Age
https://journals.oregondigital.org/index.php/hsda/article/view/4542
DOI: http://dx.doi.org/10.5399/uo/hsda.6.1.5
Web Mapping with Leaflet.js
Machine Learning and Image classification with ArcGIS & Python Code
Data Extraction from scanned historical Maps
Shimásání dóó shicheii bi’ólta’ – My Grandmother’s and Grandfather’s School: The Old Leupp Boarding School, A Historic Archaeological Site on the Navajo Reservation. Two Bears, Davina Ruth. Indiana University ProQuest Dissertations Publishing, Degree Year 2019. https://www.proquest.com/docview/2305191109/abstract/6EE7BC5D6DC840DAPQ/1?accountid=10422
The Settlement Organization of Sparta, from the Bronze Age to the Roman Period. C&M73(2024) 199-294. Paul Christesen & Nathaniel W. Kramer. Classica Et Mediaevalia Danish Journal of Philology and History. Geospatial Database Development
https://tidsskrift.dk/classicaetmediaevalia/article/view/146573
Image: Paul Christesen and Nathaniel Kramer 2024
Google Earth Engine
Google Earth Engine Sentinel-2 Remote Sensing time-series data – Scripting with Javascript and Python to analyze satellite imagery
Support for the Global Du Bois
Support for the Global Du Bois time-series animated web map web of W.E.B Du Bois’ travels worldwide
Geocoding street addresses to base maps
We support developing reproducible workflows for research using R and Python with spatial libraries and spatial data.
Workshops
Workshops & topics:
- Spatial Analysis with Python
- Spatial Data in R
- GIS for the Humanities
- GIS for Public Health
- Data Science with Spatial Data & Spatial Analysis Techniques
- Data Wrangling
- Introduction to GIS
- Introduction to ArcGIS
- Up and Running with GIS Projects
- Creating geospatial data: Scanning paper maps, Georeferencing, Geocoding addresses
- Database Design and Query
- Reproducible Research with Spatial Data and Spatial Analyses
- Getting Started with Python
- Getting Started with R
Pre-recorded:
- Spatial Data in R – videos are sequential and ‘chunked’ into short, manageable bites:
- Intro (runtime, 7 minutes, no exercises) https://dartmouth.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=11563e03-6e31-4620-a264-acb100723a75
- Getting ready to code in R with Spatial (runtime 3 minutes, 10 min with download and install) https://dartmouth.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1a01b1c9-fc65-4190-9c45-acb1007238bc
- Coding in R (runtime 5 minutes, no additional exercises) https://dartmouth.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c3f3aaaa-ebdb-4ea7-8cab-acb10072397c
- Spatial analysis with R (runtime 19 minutes, ~ 25 minutes total to complete) https://dartmouth.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=860298e6-78b8-45ce-a171-acb10072448
- ArcGIS – Geographic Information Systems – videos are sequential and ‘chunked’ into short, manageable bites:
- Geographic Information Systems – Slides (runtime 8.5 minutes) https://drive.google.com/file/d/14hXSxjvBRiddwaz2z8hdepMb_gkKtxPx/view?usp=sharing
- ArcGIS Online hands-on tutorial (runtime 12 minutes, ~ 18 minutes to complete https://drive.google.com/file/d/1dsOQBO6U_8UaWkdfyY-hBS0e1jiH1Pmo/view?usp=sharing
Current-term workshops, in-person or via Zoom: https://dartgo.org/RRADworkshops
supported software:
Software as a service: Software-As-A-Service browser-based applications
ArcGIS 10.8 link for instructions and to download ArcGIS Desktop (network and standalone licenses available)
ArcGIS Pro link for instructions and to download ArcGIS Desktop (network and standalone licenses available)
ArcGIS Online browser-based Software-As-A-Service available to Dartmouth through a web browser. Visit this link for Dartmouth’s ArcGIS Online system. Click “Sign In” > Dartmouth College, and sign in with your Dartmouth Single-Sign-On credentials to create an account. For more details on ArcGIS Online, see https://services.dartmouth.edu/TDClient/1806/Portal/KB/ArticleDet?ID=123163
Google Maps / MyMaps from Google Suite is available through a web browser. Log in to Google Drive (https://drive.google.com/). In the upper right, click the Google Apps ‘waffle’ icon, and click “Maps”. In the upper left of Maps, click the three-line ‘pancake’ icon, choose “Your Places” > Maps > Create Map
The Geospatial Program Area of Research Computing facilitates and enables the advancement of research by providing leading-edge computing services.
We provide a wide range of capabilities, including creating custom maps, spatial analysis, machine learning for remote-sensing image classification, a multi-spectral UAV/drone, Python workflow scripting, data extraction and transformation from historical maps, and geo-locating street addresses. Our team has conducted X-hours, workshops, and guest lectures on geospatial data science for Dartmouth courses. We support various software platforms, including ArcGIS Pro, ArcGIS Online, and QGIS, and offer expertise in geospatial data analysis using Python and R. We have data science expertise, software engineering expertise, and we build SQL-conforming databases with spatial data to meet your research needs.
Additional links and resources:
Geospatial Analysis—A Comprehensive Guide, 6th edition; 2007–2018; de Smith, Goodchild, Longley. https://www.spatialanalysisonline.com/HTML/index.html
Leaflet and Folium – https://leafletjs.com/ and https://python-visualization.github.io/folium/latest/index.html
Geographic Information Systems, Dawsen, Christopher J.
New York : Nova Science Publishers, 2011
Getting to know ArcGIS Desktop by Tim Ormsby
The ESRI guide to GIS analysis by Andy Mitchell
Geographic Information Systems and Science by Paul Longley
GIS Concepts and ArcGIS Methods by David M. Theobald
GIS Fundamentals by Paul Bolstad
GIS Tutorial for ArcGIS Pro by Wilpen Gorr and Kirsten Kurland
Steve Gaughan, Research Facilitator – Applications Specialist – Geospatial Programmer / Analyst (GIS, Spatial Analysis)
contact info: 603-646-9524 / Stephen.P.Gaughan@dartmouth.edu
Or contact research.computing@dartmouth.edu to generate a service request
page revised 8.09.2024