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Using widely available data, Roger Doiron of Kitchen Gardeners International[3] estimates that converting 10 percent of our nation's lawns to vegetable gardens "could meet about a third of our fresh vegetable needs at current consumption rates".
Model performance was improved by autologistic regression, and models restricted to widely available data were only slightly poorer.
Best models were also constructed using stepwise logistic and autologistic regression, and using only widely available data, and these models and their predictive maps were then evaluated.
However, in this class of models, widely available data such as daily precipitation and discharge are disregarded resulting in a reduction in temporal accuracy.
The research was designed to determine the potential for using widely available data from the current set of satellite-borne synthetic aperture radar (SAR) sensors to study forests over broad geographic areas and complex environmental gradients.
The method employed uses a geographic information system (GIS) based spatial multiple criteria evaluation (SMCE) model with inputs from widely available data sources such as census, household travel surveys, land use and environmental data to arrive at solutions for modal priorities.
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If all of this data was more widely available to data scientists, a data science challenge could help determine how many lanes to have open at a given time of day, how to fluctuate tolls dynamically based on traffic needs, how to monitor and rate the changing of traffic signals and much more.
We illustrate a geospatial approach for assessing the role of denitrification sinks in watershed N delivery at the local level using: (a) widely available geospatial data, (b) current findings from peer-reviewed literature, (c) USGS stream gage data, and (d) locally based data on selected stream attributes.
While most machine learning algorithms, libraries and tools are in the public domain and computing power is a widely available commodity, data ownership is highly concentrated.
In the late 1970s, Bollinger was one of the first practitioners to use a personal computer and widely available market data to do technical analysis modeling.
Furthermore, the national network, soon to be widely available with data and Internet services, will supply MCI WorldCom with a significant number of users with an appetite for enhanced services.
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