Hartwig H Hochmair
Biographic Data
| ID | 5857408 |
|---|---|
| NAME | Hartwig H Hochmair |
| GIVEN NAMES | Hartwig H |
| FAMILY NAME | Hochmair |
| SIGNATURE | HOCHMAIR H H |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0002-7064-8238 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Use and Effectiveness of Chatbots as Support Tools in GIS Programming Course Assignments
Advancements in large language models have significantly transformed higher education by integrating AI chatbots into course design, teaching, administration, and student support. This study evaluates the use, effectiveness, and perceptions of chatbots in a Python-based graduate-level GIS programming course at a U.S. university. Students self-reported perceived improvements in skills and the use of different help resources across three home assig…
Advancing AI-Driven Geospatial Analysis and Data Generation
Recent years have witnessed a revolution of artificial intelligence (AI) technologies, highlighted by the rise of generative AI and geospatial artificial intelligence (GeoAI) [...]
Comparison of reported outdoor activities in Florida State Parks among three fitness tracker apps
This research used activity data from three fitness tracker apps (AllTrails, MapMyFitness, Wikiloc) to assess which features of Florida State Parks and their surroundings are associated with the number of hiking, cycling, running, and paddling activities. Key features, such as the density of hiking or cycling trails in and population near parks were associated with increased activity levels across most activity types. Comparison of regression res…
Modeling interurban mentioning relationships in the U.S. Twitter network using geo-hashtags
Cartographic Vandalism in the Era of Location-Based Games—The Case of OpenStreetMap and Pokémon GO
User-generated map data is increasingly used by the technology industry for background mapping, navigation and beyond. An example is the integration of OpenStreetMap (OSM) data in widely-used smartphone and web applications, such as Pokémon GO (PGO), a popular augmented reality smartphone game. As a result of OSM’s increased popularity, the worldwide audience that uses OSM through external applications is directly exposed to malicious edits which…
An Overview of Social Media Apps and their Potential Role in Geospatial Research
Social media apps provide analysts with a wide range of data to study behavioral aspects of our everyday lives and to answer societal questions. Although social media data analysis is booming, only a handful of prominent social media apps, such as Twitter, Foursquare/Swarm, Facebook, or LinkedIn are typically used for this purpose. However, there is a large selection of less known social media apps that go unnoticed in the scientific community. T…
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addressing current challenges of urban complex systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. Yet, by applying a purely data-driven appr…
Using Twitter to Analyze the Effect of Hurricanes on Human Mobility Patterns
Understanding human mobility patterns becomes essential in crisis management and response. This study analyzes the effect of two hurricanes in the United States on human mobility patterns, more specifically on trip distance (displacement), radius of gyration, and mean square displacement, using Twitter data. The study examines three geographical regions which include urbanized areas (Houston, Texas; Miami-Dade County, Florida) and both rural and …
Estimating bicycle trip volume for Miami-Dade county from Strava tracking data
Using Volunteered Geographic Information to measure name changes of artificial geographical features as a result of political changes
Spatiotemporal analysis of photo contribution patterns to Panoramio and Flickr
Photo-sharing services provide a rich resource of crowdsourced spatial data consisting of georeferenced imagery and metadata. Shared photos can provide valuable information for a variety of applications and geospatial analysis tasks, such as identifying tourist hot spots or traveled routes. Understanding the spatiotemporal patterns of photo contributions will allow analysts to assess the suitability of these data for related analysis tasks. Using…
Street network structure and household activity spaces
This research analyses the influence of street network structure on household travel patterns, as measured by activity spaces. The analysis uses street network and travel survey data from the Minneapolis – St. Paul (Twin Cities) and Miami – Ft. Lauderdale (South Florida) metropolitan areas. Various measures of street network structure are used to quantify street network structure. The activity space polygon for each household in the travel survey…
Comparison of reported outdoor activities in Florida State Parks among three fitness tracker apps
This research used activity data from three fitness tracker apps (AllTrails, MapMyFitness, Wikiloc) to assess which features of Florida State Parks and their surroundings are associated with the number of hiking, cycling, running, and paddling activities. Key features, such as the density of hiking or cycling trails in and population near parks were associated with increased activity levels across most activity types. Comparison of regression res…
Spatiotemporal analysis of photo contribution patterns to Panoramio and Flickr
Photo-sharing services provide a rich resource of crowdsourced spatial data consisting of georeferenced imagery and metadata. Shared photos can provide valuable information for a variety of applications and geospatial analysis tasks, such as identifying tourist hot spots or traveled routes. Understanding the spatiotemporal patterns of photo contributions will allow analysts to assess the suitability of these data for related analysis tasks. Using…
Street network structure and household activity spaces
This research analyses the influence of street network structure on household travel patterns, as measured by activity spaces. The analysis uses street network and travel survey data from the Minneapolis – St. Paul (Twin Cities) and Miami – Ft. Lauderdale (South Florida) metropolitan areas. Various measures of street network structure are used to quantify street network structure. The activity space polygon for each household in the travel survey…
Street network structure and household activity spaces
This research analyses the influence of street network structure on household travel patterns, as measured by activity spaces. The analysis uses street network and travel survey data from the Minneapolis – St. Paul (Twin Cities) and Miami – Ft. Lauderdale (South Florida) metropolitan areas. Various measures of street network structure are used to quantify street network structure. The activity space polygon for each household in the travel survey…
Spatiotemporal analysis of photo contribution patterns to Panoramio and Flickr
Photo-sharing services provide a rich resource of crowdsourced spatial data consisting of georeferenced imagery and metadata. Shared photos can provide valuable information for a variety of applications and geospatial analysis tasks, such as identifying tourist hot spots or traveled routes. Understanding the spatiotemporal patterns of photo contributions will allow analysts to assess the suitability of these data for related analysis tasks. Using…
Using Volunteered Geographic Information to measure name changes of artificial geographical features as a result of political changes
Using Twitter to Analyze the Effect of Hurricanes on Human Mobility Patterns
Understanding human mobility patterns becomes essential in crisis management and response. This study analyzes the effect of two hurricanes in the United States on human mobility patterns, more specifically on trip distance (displacement), radius of gyration, and mean square displacement, using Twitter data. The study examines three geographical regions which include urbanized areas (Houston, Texas; Miami-Dade County, Florida) and both rural and …
Estimating bicycle trip volume for Miami-Dade county from Strava tracking data
Cartographic Vandalism in the Era of Location-Based Games—The Case of OpenStreetMap and Pokémon GO
User-generated map data is increasingly used by the technology industry for background mapping, navigation and beyond. An example is the integration of OpenStreetMap (OSM) data in widely-used smartphone and web applications, such as Pokémon GO (PGO), a popular augmented reality smartphone game. As a result of OSM’s increased popularity, the worldwide audience that uses OSM through external applications is directly exposed to malicious edits which…
An Overview of Social Media Apps and their Potential Role in Geospatial Research
Social media apps provide analysts with a wide range of data to study behavioral aspects of our everyday lives and to answer societal questions. Although social media data analysis is booming, only a handful of prominent social media apps, such as Twitter, Foursquare/Swarm, Facebook, or LinkedIn are typically used for this purpose. However, there is a large selection of less known social media apps that go unnoticed in the scientific community. T…
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addressing current challenges of urban complex systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. Yet, by applying a purely data-driven appr…
Modeling interurban mentioning relationships in the U.S. Twitter network using geo-hashtags
Comparison of reported outdoor activities in Florida State Parks among three fitness tracker apps
This research used activity data from three fitness tracker apps (AllTrails, MapMyFitness, Wikiloc) to assess which features of Florida State Parks and their surroundings are associated with the number of hiking, cycling, running, and paddling activities. Key features, such as the density of hiking or cycling trails in and population near parks were associated with increased activity levels across most activity types. Comparison of regression res…
Use and Effectiveness of Chatbots as Support Tools in GIS Programming Course Assignments
Advancements in large language models have significantly transformed higher education by integrating AI chatbots into course design, teaching, administration, and student support. This study evaluates the use, effectiveness, and perceptions of chatbots in a Python-based graduate-level GIS programming course at a U.S. university. Students self-reported perceived improvements in skills and the use of different help resources across three home assig…
Advancing AI-Driven Geospatial Analysis and Data Generation
Recent years have witnessed a revolution of artificial intelligence (AI) technologies, highlighted by the rise of generative AI and geospatial artificial intelligence (GeoAI) [...]
Computer Science (10 works) · Geography (10 works) · Data science (7 works) · Human Mobility and Location-Based Analysis (7 works) · Cartography (4 works) · Engineering (4 works) · Geospatial analysis (4 works) · Political science (4 works) · World Wide Web (4 works) · Artificial Intelligence (3 works)