Coastal mangrove forests provide important ecosystem goods and services, including carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are being destroyed at an alarming rate by human activities. To characterize mangrove forest changes, evaluate their impacts, and support relevant protection and restoration decision making, accurate and up-to-date mangrove forests mapping at large spatial scales is essential. Sponsored by NASA Carbon Monitoring Systems (CMS) Program, we developed a machine learning ensemble to map...

This project analyzed CDC published mortality data of a dozen major causes since 1999, and applied the Exponential Smoothing (ETS) algorithm to simulate the 2020 mortality rates per cause, per month and per state, assuming there was no COVID-19 pandemic. The difference between the simulated rates and the actual rates revealed COVID-19 impacts on mortality of various causes in the United States. Results are published in...

Sponsored by NSF, this project is to build a comprehensive data repository of virus cases, associated social and natural information from different resources for sustainable archive; share data with the research communities through smart data discovery capabilities with easy access; utilize the spatiotemporal computing infrastructure built in IUCRC STC for computational needs of COVID 19 research with online collaboration; develop workflows in collaboration with public health...

In collaboration with OmniSci Technologies and the NSF Spatiotemporal Innovation Center, and in close coordination with Harvard Research Computing (FASRC), the CGA has deployed OmniSci Immerse and PostGIS on ...

The Out of Eden Walk is a 24,000-mile journalistic endeavor to create a global record of human life at the start of a new millennium as told by villagers, nomads, traders, farmers, soldiers, and artists who rarely make the news.  Sponsored and hosted by National Geographic Society...

Funded by OmniSci Technologies, LLC. as a member of the I/UCRC Spatiotemporal Innovation Center
Can be hosted on Harvard Cannon Cluster, Amazon AWS, Mass Open Cloud, MapD Cloud.

Use cases:

• Improving access to hydrological models used in water management and public safety
• Analyzing how political partisanship affects the geographic sorting of voters

See...

The CHGIS project has produced a comprehensive series of datasets related to the administrative geography of Chinese History. The data layers include nationwide coverages (for the years 1820 and 1911), and time series (for the Dynastic period from 221 BCE to 1911 CE). The administrative features include Provinces, Circuits, Prefectures, and Counties as they changed over time. Supplemental datasets include G.W. Skinner regional systems, Buddhist sites, features from historic Russian maps of China, Tibetan...