Compared to a decade ago, present-day life science projects generate vast amounts of data, that are frequently heterogenous. Both researchers and funders are aware that published results often lack ...
Fractional tree cover facilitates the depiction of forest density and its changes. However, it remains challenging to estimate tree cover from satellite data, leading to substantial uncertainties in ...
The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...
This four-part Mongabay mini-series examines the latest technological solutions to help tree-planting projects achieve scale and long-term efficiency. Using these innovative approaches could be vital ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
More trees mean healthier neighborhoods, and a new map is helping the city of Chicago identify neighborhoods that could benefit from increased investment in street trees. Health geographer and data ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Taking place February 1 from 2:00-4:30pm EST, Advanced Data Trees: The Art of Navigating and Manipulating Data Structures in Grasshopper will focus on how to effectively navigate and use ...
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