Robert Pontius

About

Robert Gilmore Pontius Jr is Professor of Geography at Clark University, where he has been since 1998. He holds a Doctorate in Environmental Science and a Masters in Applied Statistics. His expertise includes Geographic Information Science, Land Change Science, Ecological Modeling, and Statistics. His team receives funding from MapBiomas, the United States National Science Foundation, and the National Aeronautical and Space Administration. His solo authored book is entitled Metrics That Make A Difference: How To Analyze Change and Error.

Work

Clark University

|

Professor

US

→

Education

State University of New York

United States of America
→
Doctorate in Environmental Science

The Ohio State University

United States of America
→
Master of Applied Statistics

University of Pittsburgh

United States of America
→
Bachelor of Science

Publications

The Bayesian operating characteristic curve for feature analysis applied to urban land cover change

Environmental Modelling & Software

journal-article

Accounting for alternation in temporal quality analysis in MapBiomas Brazil

International Journal of Digital Earth

journal-article

A call to interpret disagreement components during classification assessment

International Journal of Geographical Information Science

journal-article

DynamicPATCH: method and software for spatially explicit dynamic patch transition characterization

Landscape Ecology

journal-article

Best Practices for Applying and Interpreting the Total Operating Characteristic

ISPRS International Journal of Geo-Information

journal-article

Best Practices for Applying and Interpreting the Total Operating Characteristic

ISPRS International Journal of Geo-Information

journal-article

Methods to compare sites concerning a category’s change during various time intervals

GIScience & Remote Sensing

journal-article

Analyzing the Losses and Gains of a Land Category: Insights from the Total Operating Characteristic

Land

journal-article

Analyzing the Losses and Gains of a Land Category: Insights from the Total Operating Characteristic

Land

journal-article

Performance of CA_Markov and DINAMICA EGO models to evaluate urban risk in Antofagasta and Mejillones, Chile

Natural Hazards

journal-article

Four Fundamental Questions to Evaluate Land Change Models with an Illustration of a Cellular Automata–Markov Model

Annals of the American Association of Geographers

journal-article

The Flow Matrix Offers a Straightforward Alternative to the Problematic Markov Matrix

Land

journal-article

The Flow Matrix Offers a Straightforward Alternative to the Problematic Markov Matrix

Land

journal-article

Area method compared with Transect method to measure shoreline movement

Geocarto International

journal-article

A new framework to deal with the class imbalance problem in urban gain modeling based on clustering and ensemble models

Geocarto International

journal-article

Validating models of one-way land change: an example case of forest insect disturbance

Landscape Ecology

journal-article

Encoding a Categorical Independent Variable for Input to TerrSet’s Multi-Layer Perceptron

ISPRS International Journal of Geo-Information

journal-article

Encoding a Categorical Independent Variable for Input to TerrSet’s Multi-Layer Perceptron

ISPRS International Journal of Geo-Information

journal-article

Linking land change model evaluation to model objective for the assessment of land cover change impacts on biodiversity

Landscape Ecology

journal-article

The Total Operating Characteristic from Stratified Random Sampling with an Application to Flood Mapping

Remote Sensing

journal-article

The Total Operating Characteristic from Stratified Random Sampling with an Application to Flood Mapping

Remote Sensing

journal-article

Enhanced Intensity Analysis to Quantify Categorical Change and to Identify Suspicious Land Transitions: A Case Study of Nanchang, China

Remote Sensing

journal-article

Enhanced Intensity Analysis to Quantify Categorical Change and to Identify Suspicious Land Transitions: A Case Study of Nanchang, China

Remote Sensing

journal-article

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data

Remote Sensing

journal-article

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data

Remote Sensing

journal-article

Accounting for Training Data Error in Machine Learning Applied to Earth Observations

Remote Sensing

journal-article

Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China

GIScience & Remote Sensing

journal-article

GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia

International Journal of Applied Earth Observation and Geoinformation

journal-article

Component intensities to relate difference by category with difference overall

International Journal of Applied Earth Observation and Geoinformation

journal-article

Criteria to Confirm Models that Simulate Deforestation and Carbon Disturbance

Land

journal-article

Criteria to Confirm Models that Simulate Deforestation and Carbon Disturbance

Land

journal-article

Quantifying spatiotemporal patterns concerning land change in Changsha, China

Landscape and Ecological Engineering

journal-article

Rules to write mathematics to clarify metrics such as the land use dynamic degrees

Landscape Ecology

journal-article

Methods to summarize change among land categories across time intervals

Journal of Land Use Science

journal-article

Spatially-Explicit Simulation of Urban Growth through Self-Adaptive Genetic Algorithm and Cellular Automata Modelling

Land

journal-article

Land Classification and Change Intensity Analysis in a Coastal Watershed of Southeast China

Sensors

journal-article

A Suite of Tools for ROC Analysis of Spatial Models

ISPRS International Journal of Geo-Information

journal-article

Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia

Land

journal-article