activity
20202024
most citedAccounting for location uncertainty in distance sampling data

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2024

Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities

Narmadha M. Mohankumar, Milan Jain, Heng Wan +3

The Council on Environmental Quality's Climate and Economic Justice Screening Tool defines "disadvantaged communities" (DAC) in the USA, highlighting census tracts where benefits o…

cs.CY2023★ 2 cited

Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities

Milan Jain, Narmadha Meenu Mohankumar, Heng Wan +3

Disadvantaged communities (DAC), as defined by the Justice40 initiative of the Department of Energy (DOE), USA, identifies census tracts across the USA to determine where benefits…

stat.ME2022

Data fusion of distance sampling and capture-recapture data

Narmadha M. Mohankumar, Trevor J. Hefley, Katy Silber +1

Species distribution models (SDMs) are increasingly used in ecology, biogeography, and wildlife management to learn about the species-habitat relationships and abundance across spa…

stat.AP2020

Using machine learning to identify nontraditional spatial dependence in occupancy data

Narmadha M. Mohankumar, Trevor J. Hefley

Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Tr…

stat.AP2020★ 3 cited

Accounting for location uncertainty in distance sampling data

Trevor J. Hefley, W. Alice Boyle, Narmadha M. Mohankumar

Ecologists use distance sampling to estimate the abundance of plants and animals while correcting for undetected individuals. By design, data collection is simplified by requiring…