607
The FEWSION Database™ 1.0 utilizes some of the following data inputs:
• U.S. Census Population Data
• U.S. Census Economic Census
• Bureau of Labor Statistics
• U.S. Geological Survey (Water use census, surface flows)
• U.S. Department of Agriculture National Agricultural Statistics
• U.S. Department of Agriculture Economic Research Service
• U.S. Census Commodity Flow Survey
• Oak Ridge National Laboratory/U.S. Department of Transportation Freight
Analysis Framework
• U.S. Energy Information Administration
• U.S. Environmental Protection Agency
• U.S. Department of Homeland Security
• U.S. Department of Agriculture CropScape
• DHS HIFLD Open Data
• National Renewable Energy Laboratory ReEDS Energy & Power Flow Data
• National Renewable Energy Laboratory ReEDS Water Withdrawal and
Consumption Data
• U.S. Foreign Trade Data
• Global Water Productivity Data
• Water Footprint Network
• Academic surface water flow models
• Academic surface water transfer statistics
• Academic electrical power flow models
FEWSION provides an online publicly accessible visualization and data search
and retrieval system called FEW-View™. FEW-View™ 1.0 allows a user to select
commodity types and units, choose locations, and visually map the supply chains.
Users can benchmark and compare their community’s FEW usage or footprints with
other US communities. Users can view analytics that describes their supply chain
network-like resilience or circularity metrics. Users can print out reports for their
communities’ supply chains, and can directly download the data that they see on
their screen. The map interface looks like this (Fig. 21.1).
Visual analysis and exploration is one of the most effective strategies for orienting both technical analysts and stakeholders within a systems context. People have
a limited capacity to grasp systems of connections, but people are relatively adept at
visual comprehension and exploratory analysis. However, before a user can employ
this kind of analysis tool, the user must be trained. Even relatively simple interfaces
require significant training and experience. In order to streamline the user’s onboarding to the tool, FEW-View™ utilizes a combination of science art and narrative
storytelling, followed by preconfigured scenario maps, to ease the user into the
interface. An example scenario follows below (Fig. 21.2).
21 Opportunities at the Nexus
The FEWSION Database™ 1.0 utilizes some of the following data inputs:
• U.S. Census Population Data
• U.S. Census Economic Census
• Bureau of Labor Statistics
• U.S. Geological Survey (Water use census, surface flows)
• U.S. Department of Agriculture National Agricultural Statistics
• U.S. Department of Agriculture Economic Research Service
• U.S. Census Commodity Flow Survey
• Oak Ridge National Laboratory/U.S. Department of Transportation Freight
Analysis Framework
• U.S. Energy Information Administration
• U.S. Environmental Protection Agency
• U.S. Department of Homeland Security
• U.S. Department of Agriculture CropScape
• DHS HIFLD Open Data
• National Renewable Energy Laboratory ReEDS Energy & Power Flow Data
• National Renewable Energy Laboratory ReEDS Water Withdrawal and
Consumption Data
• U.S. Foreign Trade Data
• Global Water Productivity Data
• Water Footprint Network
• Academic surface water flow models
• Academic surface water transfer statistics
• Academic electrical power flow models
FEWSION provides an online publicly accessible visualization and data search
and retrieval system called FEW-View™. FEW-View™ 1.0 allows a user to select
commodity types and units, choose locations, and visually map the supply chains.
Users can benchmark and compare their community’s FEW usage or footprints with
other US communities. Users can view analytics that describes their supply chain
network-like resilience or circularity metrics. Users can print out reports for their
communities’ supply chains, and can directly download the data that they see on
their screen. The map interface looks like this (Fig. 21.1).
Visual analysis and exploration is one of the most effective strategies for orienting both technical analysts and stakeholders within a systems context. People have
a limited capacity to grasp systems of connections, but people are relatively adept at
visual comprehension and exploratory analysis. However, before a user can employ
this kind of analysis tool, the user must be trained. Even relatively simple interfaces
require significant training and experience. In order to streamline the user’s onboarding to the tool, FEW-View™ utilizes a combination of science art and narrative
storytelling, followed by preconfigured scenario maps, to ease the user into the
interface. An example scenario follows below (Fig. 21.2).
21 Opportunities at the Nexus