Data sketching algorithms with the Sustain project allow us to separate information from the data. This facilitates coping with voluminous data.
US Census Data
Data from the US Census Survey now available within Sustain. The data covers several features at the block-level for the past 4 decades.
Air Quality Dataset
Air quality data from the Environmental Protection Agency now available within sustain. This includes data collected at hourly intervals from monitoring locations in the United States from 1980.
National Land Cover Database
The National Land Cover Database for the conterminous United States now available within Sustain. The NLCD from USGS represents land cover as 16 thematic classes.
The Sustain project focuses on harnessing the data revolution in geo-sciences. In particular, the project will:
Federate data stored within different administrative domains. The data itself may be stored in diverse encoding formats using a variety of storage frameworks.
Perform data imputations at diverse spatiotemporal scopes.
A key goal of the Sustain effort to harness the wealth of information available in this data by supporting a rich set of data exploration, discovery, visualization, and model validation operators.
The Sustain Project consists of several modules working in tandem to allow our users to establish an end-to-end understanding of Urban Data. The Sustain project … Read More
We plan to have 3 major releases every year, with intermediate minor releases adding functionality to the aforementioned major releases. We typically number our releases … Read More
Here one can find the installation, metadata and some manuals on how to use the Sustain modules, either stand-alone or together. Setting up some of … Read More
Towards Deeper, Faster Voluminous Spatiotemporal Data Explorations The United States is highly urbanized with more than 80% of the population residing in cities. Cities draw … Read More
Started in 2019, this project combined the expertise of several experts across disciplines in order to revolutionize the way Urban Data could be comprehended.
Electric Transmission Lines Description: United States’ electric transmission lines and details about them. Government Agency: Homeland Infrastructure Foundation-Level Data (HIFLD), Open GP – Energy Spatial … Read More
The Sustain project is a collaboration between Colorado State University, Arizon State University, University of California — Irvine, and the University of Maryland – Baltimore … Read More
Towards Deeper, Faster Voluminous Spatiotemporal Data Explorations The United States is highly urbanized with more than 80% of the population residing in cities. Cities draw … Read More
We plan to have 3 major releases every year, with intermediate minor releases adding functionality to the aforementioned major releases. We typically number our releases … Read More
The interdisciplinary project team includes expertise from computer science, statistics, engineering, geosciences, and social behavioral and economic sciences.
Data can spur exploration of new questions and hypotheses, particularly across traditionally disparate disciplines, and offer unprecedented opportunities for discovery and innovation.
A key goal of the Sustain effort to harness the wealth of information available in voluminous, disparate datasets by supporting a rich set of data … Read More
We are getting ready to support a rich set of modeling services encompassing construction, validation, and refinements.
This research has been supported by funding from the US National Science Foundation’s CSSI program through awards 1931363, 1931324, 1931335, and 1931283. The project is a joint effort involving Colorado State University, Arizona State University, the University of California-Irvine, and the University of Maryland – Baltimore County.
