A person I fondly connected with via this books back in the 70s, always interesting: Donald Knuth's 2022 'Christmas Tree' Lecture at Stanford Is About Trees ... ' Also on Youtube: https://youtu.be/zg6YRqT4Duo
Showing posts with label Trees. Show all posts
Showing posts with label Trees. Show all posts
Tuesday, December 27, 2022
Saturday, May 07, 2022
Trees in Wolfram
I see that the Wolfram language has added new and improved features using Trees. Below a good intro. As usual, Their capabilities, which we used in house, are nicely done and described, worth a look.
April 22, 2022, Stephen Wolfram
Two years ago we released Version 12.0 of the Wolfram Language. Here are the updates in trees since then, including the latest features in 13.0. The contents of this post are compiled from Stephen Wolfram’s Release Announcements for 12.1, 12.2, 12.3 and 13.0.
Trees! (May 2021)
Based on the number of new built-in functions the clear winner for the largest new framework in Version 12.3 is the one for trees. We’ve been able to handle trees as a special case of graphs for more than a decade (and of course all symbolic expressions in the Wolfram Language are ultimately represented as trees). But in Version 12.3 we’re introducing trees as first-class objects in the system.
The fundamental object is Tree: ....(much more at the link]
Friday, December 06, 2019
Identifying Invasive Species
An area, forestry, where we did much predictive analysis as to yield and harvest. Invasive species have increased in their danger. Both in forestry and horticulturally. See a number of previous posts regard Forestry analytics applications, tag below.
Can We Identify Invasive Species Before They Invade?
Scientific American
Zach St. George
December 5, 2019
Researchers at the University of Georgia, Dartmouth College, and Western Carolina University have developed models for predicting patterns of damage by invasive insects that attack North American trees. The researchers focused on 58 non-native insects that feed on one or more of 49 species of North American conifers. The researchers compiled a database of the trees' ecological traits, and the native and non-native insects that consume them; they found a crucial relationship between the trees most damaged by non-native insects and those the insects fed on in their native ecosystem. Another model found shade-tolerant and drought-intolerant trees were most susceptible to non-native insect damage, while a third model showed that conifers possessing defenses against native insects were more likely to tolerate invasions of closely related non-native insects. In combination, the researchers said, these models can retroactively forecast which non-native species will become damaging, with more than 90% accuracy, so they are confident the model can predict potential damage by future insect invaders. ... "
Can We Identify Invasive Species Before They Invade?
Scientific American
Zach St. George
December 5, 2019
Researchers at the University of Georgia, Dartmouth College, and Western Carolina University have developed models for predicting patterns of damage by invasive insects that attack North American trees. The researchers focused on 58 non-native insects that feed on one or more of 49 species of North American conifers. The researchers compiled a database of the trees' ecological traits, and the native and non-native insects that consume them; they found a crucial relationship between the trees most damaged by non-native insects and those the insects fed on in their native ecosystem. Another model found shade-tolerant and drought-intolerant trees were most susceptible to non-native insect damage, while a third model showed that conifers possessing defenses against native insects were more likely to tolerate invasions of closely related non-native insects. In combination, the researchers said, these models can retroactively forecast which non-native species will become damaging, with more than 90% accuracy, so they are confident the model can predict potential damage by future insect invaders. ... "
Saturday, January 05, 2019
Finding all the Trees in the World
Akin to my previously mentioned Agriculture Deep Lens problem. No Deeplens appears to have been tried here. In Flowing data:
Finding all of the trees in the world with machine learning
Descartes Labs used machine learning to identify all of the trees in the world where at least one-meter resolution satellite imagery is available. Tim Wallace with the maps:
The ability to map tree canopy at a such a high resolution in areas that can’t be easily reached on foot would be helpful for utility companies to pinpoint encroachment issues—or for municipalities to find possible trouble spots beyond their official tree census (if they even have one). But by zooming out to a city level, patterns in the tree canopy show off urban greenspace quirks. For example, unexpected tree deserts can be identified and neighborhoods that would most benefit from a surge of saplings revealed. ... "
The full article, via Tim Wallace, with map images, shows the complexity of the problem:
Finding all of the trees in the world with machine learning
Descartes Labs used machine learning to identify all of the trees in the world where at least one-meter resolution satellite imagery is available. Tim Wallace with the maps:
The ability to map tree canopy at a such a high resolution in areas that can’t be easily reached on foot would be helpful for utility companies to pinpoint encroachment issues—or for municipalities to find possible trouble spots beyond their official tree census (if they even have one). But by zooming out to a city level, patterns in the tree canopy show off urban greenspace quirks. For example, unexpected tree deserts can be identified and neighborhoods that would most benefit from a surge of saplings revealed. ... "
The full article, via Tim Wallace, with map images, shows the complexity of the problem:
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