activity
20122021
most citedBest Practices for Scientific Computing

754 citations · 826 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2021

RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation

Dylan Stewart, Alina Zare, Sergio Marconi +5

Supervised methods for object delineation in remote sensing require labeled ground-truth data. Gathering sufficient high quality ground-truth data is difficult, especially when tar…

q-bio.PE2019★ 2 cited

Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data

Hyun Choi, Ali Sadeghian, Sergio Marconi +2

One of the first beings affected by changes in the climate are trees, one of our most vital resources. In this study tree species interaction and the response to climate in differe…

q-bio.PE2015

Comparing process-based and constraint-based approaches for modeling macroecological patterns

Xiao Xiao, James P. O'Dwyer, Ethan P. White

Ecological patterns arise from the interplay of many different processes, and yet the emergence of consistent phenomena across a diverse range of ecological systems suggests that m…

q-bio.PE2014

A process-independent explanation for the general form of Taylor's Law

Xiao Xiao, Kenneth J. Locey, Ethan P. White

Taylors Law (TL) describes the scaling relationship between the mean and variance of populations as a power-law. TL is widely observed in ecological systems across space and time w…

q-bio.PE2013★ 70 cited

A strong test of the Maximum Entropy Theory of Ecology

Xiao Xiao, Daniel J. McGlinn, Ethan P. White

The Maximum Entropy Theory of Ecology (METE) is a unified theory of biodiversity that predicts a large number of macroecological patterns using only information on the species rich…

q-bio.QM2013

An empirical evaluation of four variants of a universal species-area relationship

Daniel J. McGlinn, Xiao Xiao, Ethan P. White

The Maximum Entropy Theory of Ecology (METE) predicts a universal species-area relationship (SAR) that can be fully characterized using only the total abundance (N) and species ric…