Testimonials

  • Raster Information Extraction System (RINX)

   

"The PRISM climate data extracted by the CGA allowed us to study associations of precipitation, relative humidity and temperature with lung function in children. The climate data will also allow us to study similar associations in adults. There is a need to determine if short term exposures to these weather conditions affects the respiratory health of children and adults, especially in the context of a changing climate." -Dr. Nicholas Nassikas, MD, Beth Israel Deaconess Medical Center and Instructor, Harvard Medical School.

  • OptiPath
    Greenspoon
     

"The CGA team provided invaluable support for our project with the development of OptiPath by expertly modeling the optimal routing of historical oil and gas pipelines by accounting for spatially variable construction costs. Their assistance in sourcing relevant data and analyzing it in ArcGIS was instrumental to the success of the project. The CGA's expertise was a key input to our research on the local economic development impacts of pipeline infrastructure, significantly enhancing the quality of our publication."- Jacob Greenspoon, Research Coordinator, Harvard Kennedy School.

  • RapidRoute

  

"This is very fast, which is the main advantage. The results are pretty close to Google."-  Dr. Shahinoor Rahman, Research Associate, Harvard School of Dental Medicine.

  • Geotweet Archive V2.0

   

"The Geotweets Archive is fundamental to my research, as it provides an unparalleled dataset combining rich textual content with detailed geospatial and temporal data. Its richness in both textual content and geographical scale makes it an invaluable resource for studying social phenomena on a global scale, especially with the rise of LLM which are expanding our capabilities of understanding text in detail."- Andrea Nasuto, Fellow, Institute for Quantitative Social Science (IQSS).

  • Geotweet Census Archive

  

"Geo-located tweets provided us a unique opportunity to observe real-time political expressions across granular geographic units over a decade. It is unprecedented to observe public opinion with such temporal and geographic granularity over a decade. This data also became easy to use with the CGA's effort enriching the data with census information." - Sun Young Park, Doctorate Student, Department of Government.

  • Twitter Sentiment Geographical Index

  

"The MIT SUL Lab undertook a global study on the social costs of extreme weather events. The access to the archive of high-frequency geocoded tweets allowed us to include in our study granular measures of heat exposure and make use of state of the art econometric techniques to draw some causal links between extreme heat and expressed sentiment."- Juan Palacios, Visiting Assistant Professor, Massachusetts Institute of Technology (MIT) .

  

"Twitter Sentiment Geographic Index (TSGI) offers a unique perspective by mapping sentiments to geographical locations, enabling us to discern patterns, draw insights, and make informed conclusions about how various factors affect public sentiment across different regions. TSGI dataset has not only enriched our research capabilities but has also broadened the horizons of sentiment analysis in the context of spatial studies." - Connor Wu, Assistant Professor, Department of Geospatial Informatics, Troy University.

  • Summer Workshop on Spatiotemporal Innovation using KNIME

Video Testimonials:

  • Workshop on Using ArcGIS Enterprise for Geospatial Big Data on NERC

 

bruce
 

"This was an excellent workshop providing an initial overview of how ArcGIS Enterprise can be leveraged for geospatial research, in particular when working with large geospatial datasets where the computational requirements are more extensive than what one might accomplish on their own desktop computers or on team based research projects. This workshop provided a good foundation in understanding those differences and improved my ability to explain them to students seeking to better understand the skills and training that are necessary for the geospatial job market." - Bruce Boucek, GIS, Data and Research Librarian, Graduate School of Design, Harvard University

  • Workshop on Using Python for Geospatial Big Data/Data Science on FASRC

    phil
     

    "The workshop was great! I’m glad the video is available. It’s hard for me to justify a full day away. I found the slides easy enough (video instead of presence), which are a great reminder of the content."- Phil Durbin, Software Developer, Institute for Quantitative Social Science (IQSS).

 

pic_jerson
 
wfp

"I really enjoyed the Python for Big Data and Geospatial Data Science workshop. Throughout the session, Robert's deep knowledge of Python and its application in geospatial big data was evident. The examples provided were practical and relevant, making it easy to understand complex concepts. The pacing was perfect, allowing for a comprehensive understanding of the material. This workshop has significantly improved my knowledge and skills on this great topic." - Jerson Achicanoy, Climate Change, Anticipatory Action and Early Warning VAM Officer, World Food Programme.

  • Billion Object Platform V2.0

   

"The dashboard offers the perfect opportunity for anyone to learn about geographic, cultural, and environmental factors along the length of the walk, providing a valuable educational resource to be used by students of all ages. This real-time data analysis enables researchers to make informed decisions based on the latest information."- Jeff Blossom, GIS Service Manager, Center for Geographic Analysis, Harvard Universtiy.

  • KNIME on NERC

     

 "The adoption of KNIME on the NERC platform has brought forth transformative improvements in our data handling and analytical capabilities. KNIME's versatile data processing capabilities, combined with its user-friendly interface, have substantially enhanced our efficiency in handling complex geospatial and temporal datasets."- Xiaokang Fu, Postdoctoral Fellow, Center for Geographic Analysis, Harvard Universtiy.

 

 

 

 

 

    

See also: