Everything happens in space and time. From natural disasters to human catastrophes; from public health to energy sustainability; from urban growth to food security; 21st-century challenges call for a deep understanding of how the phenomena are linked in space and time. Solutions to these grand challenging issues require trailblazing new thinking, methodology and tools, integrating natural sciences, social sciences, earth sciences and biosciences.
With funding from the Sloan Foundation and Harvard Dataverse, the Harvard Center for Geographic Analysis (CGA) has developed a prototype spatio-temporal visualization platform dubbed "the BOP" (Billion Object Platform). The first goal of the BOP is to provide the Dataverse platform with an API-accessible big data exploration tool which can support streaming data.
Recent technological advances in remote sensing are moving terrestrial ecosystem monitoring beyond land cover change mapping, in the form of imaging spectrometry able to detect light intensity from tens to hundreds of contiguous spectral bands, providing more resolved information on ecosystem composition.
The archived materials demonstrate the methodology of Skinner's Regional Systems Analysis, dealing with the Levels in Urban Hierarchy (LUH), Urban-Rural Continuum values (URC), and the delineation of Core Periphery Zones (CPZ).
The purpose of this web mapping application is to understand how well people can define locations of different groups in geographic space, and how this relates to their attitudes about towards these groups. Using two simple datasets such as US block groups and US zip code, an US basemap by Esri, and a classic web survey approach, the application asks users to indicate in which neighborhood do most people from a certain group lives. A side-by-side mapping approach is used to retrieve feedback once the survey is completed.