Using a GPS and air monitoring equipment, this study mapped air pollution levels in Accra. The CGA assisted by plotting this GPS, and creating a grid the researchers used for organizing the survey.
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Files:
accra1.png
This paper analyzed the reasons for the stubbornly low labor productivity in East Germany. Specifically, we distinguished between two main causes, namely worker characteristics (e.g. skills) vs. job characteristics (e.g. capital or infrastructure). We built a spatial labor market model that allows for commuting. If less favorable worker characteristics cause the low labor productivity in the East, then there will be no commuting, and the unemployment rate increases discontinuously at the former border. If on the other hand less favorable job characteristics lower the labor productivity in the East, then unemployed East Germans living close to the former border will commute to the West, resulting in a gradual increase in unemployment rates along the former border.
We used county level data and tools of spatial econometrics to empirically analyze the slope of the unemployment rate along the former border, and calibrated the model to match the observed slope. The project calculated the estimated driving time and driving distance between each of the 439 Kreis, or counties, in Germany. The point affiliated with each Kreis will be the centroid of the most populous Gemeinden (town) in each Kreis. Two 439 x 439 matrices will be produced.
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From a general survey of the later Roman empire from ca. 250 to 700, the course “History 11111: The fall of Roman Empire” is shifting to an investigation of the question of the fall of the Roman Empire.
It will emphasize archaeology, primary written sources in translation, web-based resources, and the application of new natural scientific methods to historical and archaeological problems across the entire Roman world.
Today’s students are more visually oriented than yesterday’s, and more digitally aware in general, prompting the move from static wall maps to interactive and infinitely adaptable digital maps. It is essential to the teaching mission of the staff that the students be able to visualize the places, monuments, excavations, relief and vegetation of the late Roman empire, even as they hear over the website the sounds of a reconstructed late Roman circus organ or the chant of churches of the imperial capitals.
The project created the first high quality digital maps of the Roman Empire which is suitable for continuous improvement and adaptation in teaching and research worldwide.
The CGA helped to georeference and convert existing paper maps into digital files and GIS layers, and eventually built a web application so students can navigate the maps and query them for research questions.
The CGA also organized trainings to facilitate students’ use of the digital maps in section and in their research.
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Files:
roman_11.gif
roman_31.gif
In this paper, I propose a new methodology for analysing landscape drawing methods using a GIS. The subject of my analysis is the genre of Japanese screen paintings known as rakuchu rakugai zu ¯ , created between the 16th and 18th centuries. Rakuchu rakugai zu ¯ provide bird’s-eye views of the then-capital city of Kyoto, including buildings, natural features, and human activities. The methodology introduced here uses GIS spatial analysis functions to scan the painting surface onto a survey coordinate grid based on the relative positions of landmarks in the painting. The analytic sequence is as follows: (1) derive coordinate values for landmarks both on the painting and on a survey coordinate grid; (2) generate a link table from these two point-data sets; (3) use the projective transformation and rubber sheeting techniques to project the painting surface onto the survey coordinate grid; and (4) project the areas of the rubber sheet-derived polygons onto the painting. This process gives visual representation to differences between real space and the depicted space. Results show that rakuchu rakugai zu ¯ painted in the seventeenth century
and later distorted real space more than those painted in the sixteenth century, indicating a decrease in adherence to conventional perspective-based painting.
Links:
Download Presentation
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Engineering block maps of roads and villages for Orissa, India were scanned and digitized into a geodatabase for use in a transportation-accessibility study.
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Driving distances between all European NUTS level 3 census centroids were calculated for use in statistical modeling.
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Files:
europe_centroids1.png
As the point of departure of a massive emigration between the 19th and 20th centuries and the point of arrival of high flows of immigration today, demographic data concerning Italy’s migrations lends itself to a geographical visualization on such a global scale. To better emphasize the differences in the continental scale data, three cartographic techniques were used: cartogram, 3D extrusion, and line thickness weighting. To see a poster presentation containing more detail of this project: Italian Migration Poster.
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Files:
italian_decendants1.jpg
italian_immigrants1.jpg
italian_emigration_resized.jpg
The objective was to inform Harvard faculty members, researchers and students of the remote sensing technology, by showcasing ongoing research at Harvard that uses remote sensing, and by providing a high level, up-to-date overview of the technology and its applications.
2007 CGA Conference Presentations
Welcome Remarks
Peter Bol
Keynote Address:
Remote Sensing of the Environment
John Jensen (video) Slides I & Slides II
| Panel #1: Applications in Public Health | |
| Introduction of Panel Members | |
| Marcia Castro | Slides |
| John Browenstein | Slides |
| Yang Liu | Slides |
| Chris Paciorek | Slides |
| Q & A | |
| Panel #2: Applications in Ecology and Environmental Studies | |
| Introduction of Panel members | |
| Paul Cote | Slides |
| Daniel Jacob | Slides |
| Paul Moorcroft | Slides |
| Q & A | |
| Panel #3: Applications in Archeology and History | |
| Introduction of Panel members | |
| Magaly Koch | Slides |
| Joseph Greene | Slides |
| Bjoern Menze | Slides |
| Jason Ur | Slides |
| Q & A | |
Guest Presentation: From Launch Pad to Laptop: Accessing and Using Data from NASA’s Earth Observing System | |
| Introduction | |
| Forest Melton | Slides |
| CGA Services and Harvard Map Collection Resources by CGA’s Director of GIS Research Services: | |
| Wendy Guan | |
2007 CGA Conference Posters
Quantitative Approaches to the Remote Sensing of Ancient Settlements in the Near East using ASTER and SRTM Data (PDF)
by Bjoern Menze
Spying on the Ancient World: Archaeological Applications of Declassified US Intelligence Satellite Photography in the Near East (PDF)
by Jason Ur
Linking Remotely Sensed Data to Personal Health Records: Ecological Modeling for Individual Based Prevention of Lyme Disease (PPT)
by John Brownstein
Spatial Analysis of Land Cover Properties for an Archaelogical Area in Aksum, Ethiopia, Applying High and Medium Resolution Data (PDF)
by Magaly Koch
Remotely Sensed Risk of Exposure to Malaria Transmission (PPT)
by Marcia Castro
Global Distribution of Urban Area and Protected Areas (PPT)
by Robert MacDonald
A Novel Method to Estimate PM2.5 Constituent Concentration and Size Distributions Using Satellite Retrieved Fractional Aerosol Optical Depth (PPT)
by Yang Liu
Additional Reference Materials
Web 2.0 and GIS: From Ptolemy to Tufte and Beyond (PDF)
View the workshop program (PDF)
Introduction to Remote Sensing, Part I & Part II (Flash)
View a 4 page introduction to Remote Sensing technology (PDF)
Tools for Monitoring the Environmental Processes of Earth: Satellites: a lecture from SEAS ES6 “Environmental Science and Technology”
Download MultiSpec image classification freeware
An online tutorial for classifying multispectral images
Free satellite images available for download
U.S.G.S. archive of satellite images available for purchase
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This project analyzed educational disparities in Rwandan states. CGA helped with mapping initial asset lists to the Rwanda states, and ArcMap guidance.
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Files:
rwanda_laptops1.png
A dataset provided by the New York City Housing Authority consisting of ~20,000 condominium addresses with sale dates and dollar amounts was geocoded. Dot density maps were made displaying the locations, sale amounts, and year sold for the properties (First map below).
Geographic proximity from each condo to schools, hospitals, water, parks, Central Park, Wall St., Park Ave., and subway stations were calculated. Multi-variate regression analysis was performed using the proximity values to try and identify correlations between the various factors and real estate values. A strong correlation was found between high sale prices and condos located within 2,500 - 4,500 meters of Wall St. This area is labeled Wallprox on the map below (2nd map below).
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Files:
wallprox_area.png
manhattan_condo_transactions_1986_05.png
