Ross K Meentemeyer
Biographic Data
| ID | 2106299 |
|---|---|
| NAME | Ross K Meentemeyer |
| GIVEN NAMES | Ross K |
| FAMILY NAME | Meentemeyer |
| SIGNATURE | MEENTEMEYER R K |
| AFFILIATIONS | North Carolina State University |
| ORCID | 0000-0002-1247-6212 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 12 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Technologies and Applications of Geocomputational Tangible User Interfaces
Since the early 2000s, there has been rising research interest in using tangible user interfaces (TUIs) in geospatial education, terrain modeling and analysis, landscape design and planning, and collaborative decision making. Many of these systems explicitly model geospatial data and allow users to interact with complex computational workflows by direct manipulation of a shared tangible interface. However, prior research has largely examined thes…
Creating spatially complete zoning maps using machine learning
Viewscape change highlights shifting drivers of exurban development over time
Spatially disaggregated simulation of interactions between home prices and land-use change
Land-use regulations play a key role on both sides of the real estate market by regulating the supply of housing (e.g., through restrictions on unit density or building height) and by controlling the location and density of places of work, which are the primary drivers of the demand for housing. Developing geospatial models for this interaction between land use and home price on a spatially disaggregated level enables decisionmakers to evaluate t…
Predicting flood damage probability across the conterminous United States
Floods are the leading cause of natural disaster damages in the United States, with billions of dollars incurred every year in the form of government payouts, property damages, and agricultural losses. The Federal Emergency Management Agency oversees the delineation of floodplains to mitigate damages, but disparities exist between locations designated as high risk and where flood damages occur due to land use and climate changes and incomplete fl…
Invasive Species
Invasive species are organisms like plants, animals, or microbes (e.g., fungi, bacteria, viruses) that are introduced to areas outside their historical or current distributions, most often through human‐mediated activity, and successfully establish populations that continue to reproduce and spread quickly. Collectively, invasive species are recognized as a major driver of global change that can pose a significant threat to ecosystems, economies, …
High Resolution Viewscape Modeling Evaluated Through Immersive Virtual Environments
Visual characteristics of urban environments influence human perception and behavior, including choices for living, recreation and modes of transportation. Although geospatial visualizations hold great potential to better inform urban planning and design, computational methods are lacking to realistically measure and model urban and parkland viewscapes at sufficiently fine-scale resolution. In this study, we develop and evaluate an integrative ap…
Modeling restorative potential of urban environments by coupling viewscape analysis of lidar data with experiments in immersive virtual environments
Aboveground carbon loss associated with the spread of ghost forests as sea levels rise
Coastal forests sequester and store more carbon than their terrestrial counterparts but are at greater risk of conversion due to sea level rise. Saltwater intrusion from sea level rise converts freshwater-dependent coastal forests to more salt-tolerant marshes, leaving ‘ghost forests’ of standing dead trees behind. Although recent research has investigated the drivers and rates of coastal forest decline, the associated changes in carbon storage a…
Predicting private landowner hunting access decisions and hunter density
Urbanization and shifting landowner demographics are changing how and where hunting occurs. We surveyed nonindustrial private landowners (N = 1,843) in North Carolina, USA to examine how demographics and land-use predict whether hunting occurred and hunter density. The optimal logistic regression model correctly predicted whether hunting occurred on 96% of properties. Larger properties, male property ownership, longer ownership tenure, income gen…
Continental-scale quantification of landscape values using social media data
Significance In many landscapes across the globe, we are witnessing an ongoing functional shift away from landscapes managed for extractive activities (e.g., agriculture, mining, forestry) and toward landscapes managed for recreation and leisure activities. Understanding the spatial configuration of this functional shift at regional and continental scales will be crucial for the development of effective landscape and rural development policies in…
Geographic clustering of elevated blood heavy metal levels in pregnant women
Our data support that elevated blood concentrations of Cd and Pb are spatially clustered in this urban environment compared to the surrounding areas. Spatial analysis of metals concentrations in peripheral blood or urine obtained routinely during prenatal care can be useful in surveillance of heavy metal exposure
Changing decisions in a changing landscape: How might forest owners in an urbanizing region respond to emerging bioenergy markets
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
BenDor, T., D. A. Shoemaker, J.-C. Thill, M. A. Dorning, and R. K. Meentemeyer. 2014. A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence. Ecology and Society 19(3): 3. https://doi.org/10.5751/ES-06508-190303
Futures: Multilevel Simulations of Emerging Urban–Rural Landscape Structure Using a Stochastic Patch-Growing Algorithm
We present a multilevel modeling framework for simulating the emergence of landscape spatial structure in urbanizing regions using a combination of field-based and object-based representations of land change. The FUTure Urban-Regional Environment Simulation (FUTURES) produces regional projections of landscape patterns using coupled submodels that integrate nonstationary drivers of land change: per capita demand, site suitability, and the spatial …
Estimating the demand for public open space: Evidence from North Carolina municipalities
Futures: Multilevel Simulations of Emerging Urban–Rural Landscape Structure Using a Stochastic Patch-Growing Algorithm
We present a multilevel modeling framework for simulating the emergence of landscape spatial structure in urbanizing regions using a combination of field-based and object-based representations of land change. The FUTure Urban-Regional Environment Simulation (FUTURES) produces regional projections of landscape patterns using coupled submodels that integrate nonstationary drivers of land change: per capita demand, site suitability, and the spatial …
Changing decisions in a changing landscape: How might forest owners in an urbanizing region respond to emerging bioenergy markets
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
BenDor, T., D. A. Shoemaker, J.-C. Thill, M. A. Dorning, and R. K. Meentemeyer. 2014. A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence. Ecology and Society 19(3): 3. https://doi.org/10.5751/ES-06508-190303
Estimating the demand for public open space: Evidence from North Carolina municipalities
Estimating the demand for public open space: Evidence from North Carolina municipalities
Futures: Multilevel Simulations of Emerging Urban–Rural Landscape Structure Using a Stochastic Patch-Growing Algorithm
We present a multilevel modeling framework for simulating the emergence of landscape spatial structure in urbanizing regions using a combination of field-based and object-based representations of land change. The FUTure Urban-Regional Environment Simulation (FUTURES) produces regional projections of landscape patterns using coupled submodels that integrate nonstationary drivers of land change: per capita demand, site suitability, and the spatial …
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
BenDor, T., D. A. Shoemaker, J.-C. Thill, M. A. Dorning, and R. K. Meentemeyer. 2014. A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence. Ecology and Society 19(3): 3. https://doi.org/10.5751/ES-06508-190303
Geographic clustering of elevated blood heavy metal levels in pregnant women
Our data support that elevated blood concentrations of Cd and Pb are spatially clustered in this urban environment compared to the surrounding areas. Spatial analysis of metals concentrations in peripheral blood or urine obtained routinely during prenatal care can be useful in surveillance of heavy metal exposure
Changing decisions in a changing landscape: How might forest owners in an urbanizing region respond to emerging bioenergy markets
Continental-scale quantification of landscape values using social media data
Significance In many landscapes across the globe, we are witnessing an ongoing functional shift away from landscapes managed for extractive activities (e.g., agriculture, mining, forestry) and toward landscapes managed for recreation and leisure activities. Understanding the spatial configuration of this functional shift at regional and continental scales will be crucial for the development of effective landscape and rural development policies in…
Predicting private landowner hunting access decisions and hunter density
Urbanization and shifting landowner demographics are changing how and where hunting occurs. We surveyed nonindustrial private landowners (N = 1,843) in North Carolina, USA to examine how demographics and land-use predict whether hunting occurred and hunter density. The optimal logistic regression model correctly predicted whether hunting occurred on 96% of properties. Larger properties, male property ownership, longer ownership tenure, income gen…
High Resolution Viewscape Modeling Evaluated Through Immersive Virtual Environments
Visual characteristics of urban environments influence human perception and behavior, including choices for living, recreation and modes of transportation. Although geospatial visualizations hold great potential to better inform urban planning and design, computational methods are lacking to realistically measure and model urban and parkland viewscapes at sufficiently fine-scale resolution. In this study, we develop and evaluate an integrative ap…
Modeling restorative potential of urban environments by coupling viewscape analysis of lidar data with experiments in immersive virtual environments
Aboveground carbon loss associated with the spread of ghost forests as sea levels rise
Coastal forests sequester and store more carbon than their terrestrial counterparts but are at greater risk of conversion due to sea level rise. Saltwater intrusion from sea level rise converts freshwater-dependent coastal forests to more salt-tolerant marshes, leaving ‘ghost forests’ of standing dead trees behind. Although recent research has investigated the drivers and rates of coastal forest decline, the associated changes in carbon storage a…
Invasive Species
Invasive species are organisms like plants, animals, or microbes (e.g., fungi, bacteria, viruses) that are introduced to areas outside their historical or current distributions, most often through human‐mediated activity, and successfully establish populations that continue to reproduce and spread quickly. Collectively, invasive species are recognized as a major driver of global change that can pose a significant threat to ecosystems, economies, …
Predicting flood damage probability across the conterminous United States
Floods are the leading cause of natural disaster damages in the United States, with billions of dollars incurred every year in the form of government payouts, property damages, and agricultural losses. The Federal Emergency Management Agency oversees the delineation of floodplains to mitigate damages, but disparities exist between locations designated as high risk and where flood damages occur due to land use and climate changes and incomplete fl…
Viewscape change highlights shifting drivers of exurban development over time
Spatially disaggregated simulation of interactions between home prices and land-use change
Land-use regulations play a key role on both sides of the real estate market by regulating the supply of housing (e.g., through restrictions on unit density or building height) and by controlling the location and density of places of work, which are the primary drivers of the demand for housing. Developing geospatial models for this interaction between land use and home price on a spatially disaggregated level enables decisionmakers to evaluate t…
Creating spatially complete zoning maps using machine learning
Technologies and Applications of Geocomputational Tangible User Interfaces
Since the early 2000s, there has been rising research interest in using tangible user interfaces (TUIs) in geospatial education, terrain modeling and analysis, landscape design and planning, and collaborative decision making. Many of these systems explicitly model geospatial data and allow users to interact with complex computational workflows by direct manipulation of a shared tangible interface. However, prior research has largely examined thes…
Geography (13 works) · Cartography (8 works) · Computer Science (8 works) · Land Use and Ecosystem Services (8 works) · Environmental Science (6 works) · Ecology (5 works) · Economics (5 works) · Geospatial analysis (5 works) · Urban Green Space and Health (5 works) · Biology (4 works)