Helena Mitasova
Biographic Data
| ID | 353265 |
|---|---|
| NAME | Helena Mitasova |
| GIVEN NAMES | Helena |
| FAMILY NAME | Mitasova |
| SIGNATURE | MITASOVA H |
| AFFILIATIONS | North Carolina State University |
| ORCID | 0000-0002-6906-3398 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| 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…
A geospatial analysis comparing wastewater-monitored sewershed and statewide populations for 32 states participating in CDC’s National Wastewater Surveillance System, 2021-2024
Wastewater monitoring analyzes samples of untreated wastewater for pathogens to track community-level disease trends. A sewershed polygon helps define the sample population by depicting the community area that contributes sewage to the wastewater sample. This study utilized sewershed geospatial data submitted to the Centers for Disease Control and Prevention’s National Wastewater Surveillance System (CDC NWSS) to determine the wastewater-monitore…
Tell Me Where to Go: An Experiment in Spreading Visitor Flows in The Netherlands
Cities attracting large numbers of tourists increasingly face crowding and public resistance to tourism growth. As a result, governments strive to spread tourists from the best-known attractions to less-visited locations to improve both residents' and tourists' quality of life. Evidence of success and best practices herein is largely anecdotal, and the effects on tourist experience are also unknown. Thus, we undertook a randomized 2 × 2 experimen…
Timing and Trends for Municipal Wastewater, Lab-Confirmed Case, and Syndromic Case Surveillance of Covid-19 in Raleigh, North Carolina
Objectives. To compare 4 COVID-19 surveillance metrics in a major metropolitan area. Methods. We analyzed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater influent and primary solids in Raleigh, North Carolina, from April 10 through December 13, 2020. We compared wastewater results with lab-confirmed COVID-19 cases and syndromic COVID-like illness (CLI) cases to answer 3 questions: (1) Did they correlate? (2) What wa…
More is Not Better: The Emotional Dynamics of an Excellent Experience
Emotions embody the value in tourism experiences and drive essential outcomes such as intent to recommend. Current models do not explain how the ebb and flow of emotional arousal during an experience relate to outcomes, however. We analyzed 15 participants’ experiences at the Vincentre museum and guided village tour in Nuenen, the Netherlands. This Vincent van Gogh-themed experience led to a wide range of intent to recommend and emotional arousal…
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…
Space-time analytics of human physiology for urban planning
Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled loca…
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…
Fort Fisher, NC Past and Present: A Geospatial Analysis using LiDAR and GIS
Lines in the Sand: Geomorphic and Geospatial Characterization and Interpretation of Sandy Shorelines and Beaches
The world's beaches hold an appeal that draws millions of people to live and, each year, millions more to relax and play. However, in the face of this allure fly the strain and consequence of overuse. Increasingly, the imperative to find ways to effectively manage this fragile, finite resource compels science to learn more about this complex, multifaceted system. It is through such understanding that the best hope for effective management lies. I…
Computational Modeling and Neolithic Socioecological Dynamics: A Case Study from Southwest Asia
Archaeology has an opportunity to offer major contributions to our understanding of the long-term interactions of humans and the environment. To do so, we must elucidate dynamic socioecological processes that generally operate at regional scales. However, the archaeological record is sparse, discontinuous, and static. Recent advances in computational modeling provide the potential for creating experimental laboratories where dynamic processes can…
Computational Modeling and Neolithic Socioecological Dynamics: A Case Study from Southwest Asia
Archaeology has an opportunity to offer major contributions to our understanding of the long-term interactions of humans and the environment. To do so, we must elucidate dynamic socioecological processes that generally operate at regional scales. However, the archaeological record is sparse, discontinuous, and static. Recent advances in computational modeling provide the potential for creating experimental laboratories where dynamic processes can…
Timing and Trends for Municipal Wastewater, Lab-Confirmed Case, and Syndromic Case Surveillance of Covid-19 in Raleigh, North Carolina
Objectives. To compare 4 COVID-19 surveillance metrics in a major metropolitan area. Methods. We analyzed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater influent and primary solids in Raleigh, North Carolina, from April 10 through December 13, 2020. We compared wastewater results with lab-confirmed COVID-19 cases and syndromic COVID-like illness (CLI) cases to answer 3 questions: (1) Did they correlate? (2) What wa…
Computational Modeling and Neolithic Socioecological Dynamics: A Case Study from Southwest Asia
Archaeology has an opportunity to offer major contributions to our understanding of the long-term interactions of humans and the environment. To do so, we must elucidate dynamic socioecological processes that generally operate at regional scales. However, the archaeological record is sparse, discontinuous, and static. Recent advances in computational modeling provide the potential for creating experimental laboratories where dynamic processes can…
Lines in the Sand: Geomorphic and Geospatial Characterization and Interpretation of Sandy Shorelines and Beaches
The world's beaches hold an appeal that draws millions of people to live and, each year, millions more to relax and play. However, in the face of this allure fly the strain and consequence of overuse. Increasingly, the imperative to find ways to effectively manage this fragile, finite resource compels science to learn more about this complex, multifaceted system. It is through such understanding that the best hope for effective management lies. I…
Fort Fisher, NC Past and Present: A Geospatial Analysis using LiDAR and GIS
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…
Space-time analytics of human physiology for urban planning
Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled loca…
More is Not Better: The Emotional Dynamics of an Excellent Experience
Emotions embody the value in tourism experiences and drive essential outcomes such as intent to recommend. Current models do not explain how the ebb and flow of emotional arousal during an experience relate to outcomes, however. We analyzed 15 participants’ experiences at the Vincentre museum and guided village tour in Nuenen, the Netherlands. This Vincent van Gogh-themed experience led to a wide range of intent to recommend and emotional arousal…
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…
Tell Me Where to Go: An Experiment in Spreading Visitor Flows in The Netherlands
Cities attracting large numbers of tourists increasingly face crowding and public resistance to tourism growth. As a result, governments strive to spread tourists from the best-known attractions to less-visited locations to improve both residents' and tourists' quality of life. Evidence of success and best practices herein is largely anecdotal, and the effects on tourist experience are also unknown. Thus, we undertook a randomized 2 × 2 experimen…
Timing and Trends for Municipal Wastewater, Lab-Confirmed Case, and Syndromic Case Surveillance of Covid-19 in Raleigh, North Carolina
Objectives. To compare 4 COVID-19 surveillance metrics in a major metropolitan area. Methods. We analyzed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater influent and primary solids in Raleigh, North Carolina, from April 10 through December 13, 2020. We compared wastewater results with lab-confirmed COVID-19 cases and syndromic COVID-like illness (CLI) cases to answer 3 questions: (1) Did they correlate? (2) What wa…
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…
A geospatial analysis comparing wastewater-monitored sewershed and statewide populations for 32 states participating in CDC’s National Wastewater Surveillance System, 2021-2024
Wastewater monitoring analyzes samples of untreated wastewater for pathogens to track community-level disease trends. A sewershed polygon helps define the sample population by depicting the community area that contributes sewage to the wastewater sample. This study utilized sewershed geospatial data submitted to the Centers for Disease Control and Prevention’s National Wastewater Surveillance System (CDC NWSS) to determine the wastewater-monitore…
Geography (8 works) · Computer Science (7 works) · Geospatial analysis (6 works) · Cartography (4 works) · Environmental Science (4 works) · Psychology (4 works) · Ecology (3 works) · Geology (3 works) · Lidar (3 works) · Remote sensing (3 works)