About
61
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Introduction
My research interests revolve around understanding the nature and quality of user-generated data and social media services. I am also interested in using novel, previously unexplored data sources to answer research questions. I enjoy digging deep into data to find patterns.
Currently serving as the Assistant Director of GIScience, trying to balance research with admin.
Additional affiliations
Education
August 2014 - August 2018
September 2011 - June 2013
Publications
Publications (61)
In 2016, Niantic Labs released Pokémon Go, an augmented reality smartphone game that attracted millions of users worldwide. This game allows users to " catch " Pokémons through their mobile cameras in different geographic locations that often correspond to prominent places. This paper analyzes the distribution of PokéStops, Pokémon gyms, and spawnp...
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 worldwi...
A proliferation of web-based maps have appeared depicting many different aspects of the spread of the novel coronavirus (SARS-CoV-2). In this commentary, we consider the usage of web-based mapping during the COVID-19 pandemic and argue that web maps have been widely misused for delivering public information on this fast moving, epidemiologically co...
Mapillary is a Web 2.0 application which allows users to contribute crowdsourced street level photographs from all over the world. In the first part of the analysis this article reviews Mapillary data growth for continents and countries as well as the contribution behavior of individual mappers, such as the number of days of active mapping. In the...
This paper presents the results of a study that explored if and how an OpenStreetMap (OSM) data import task can contribute to OSM community growth. Different outreach techniques were used to introduce a building import task to three targeted OSM user groups. First, existing OSM members were contacted and asked to join the data import project. Secon...
Most living shoreline site selection and design decision support tools are based upon existing environmental conditions. We developed a web-based, geospatial tool called Future Shorelines that integrates high-resolution landscape elevation data and a matrix of locally derived NOAA Interagency Sea Level Rise Scenarios to characterize future conditio...
Generative AI including large language models (LLMs) has recently gained significant interest in the geoscience community through its versatile task-solving capabilities including programming, arithmetic reasoning, generation of sample data, time-series forecasting, toponym recognition, or image classification. Existing performance assessments of L...
This study examines recent publishing trends in geographic information science (GI-Science) journals. The study considers citable items (research articles, reviews) in 24 selected journals, and assesses them for the period between 2018 and 2023. The study begins by providing an overview of GIScience journal publishing trends, including growth in ab...
Generative AI including large language models (LLMs) have recently gained significant interest in the geo-science community through its versatile task-solving capabilities including coding, spatial computations, generation of sample data, time-series forecasting, toponym recognition, or image classification. So far, the assessment of LLMs for spati...
Editorial: Proceedings of the OSM Science at State of the Map Europe 2023
OpenStreetMap (OSM) started as a project in 2004 aiming at creating a digital and open map of the world via collaborative mapping. The open, flexible and collaborative nature of OSM leads to the emergence of a living ecosystem and a new scientific discipline among the diverse and ever-growing OSM communities, including academic researchers investig...
Sea-level rise (SLR) is a critical consequence of climate change, posing significant threats to coastal regions worldwide. Accurate and efficient assessment of potential inundation areas is crucial for effective coastal planning and adaptation strategies. This study aimed to explore the utility of free and open-source software for geospatial (FOSS4...
This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their capabilities and limitations in specialized subject areas such as GIS. Human learning of spatial...
Sea level rise (SLR) is a critical consequence of climate change, posing significant threats to coastal regions worldwide. Accurate and efficient assessment of potential inundation areas is crucial for effective coastal planning and adaptation strategies. This study aims to explore the utility of free and open source software for geospatial (FOSS4G...
This paper explores the concept of leveraging generative AI as a mapping assistant for enhancing the efficiency of collaborative mapping. We present the results of an experiment that combines multiple sources of volunteered geographic information (VGI) and large language models (LLMs). Three analysts described the content of crowdsourced Mapillary...
Switching to electric vehicles (EVs) has increased rapidly over recent years. This paradigm change provides an important pillar in the United States transport sector to reach sustainability goals. EVs rely on a network of charging locations to operate. This study analyses the spatial distribution, accessibility and usage patterns of the public EV i...
This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their capabilities and limitations in specialized subject areas such as GIS. Human learning of spatial...
This paper explores the concept of leveraging generative AI as a mapping assistant for enhancing the efficiency of collaborative mapping. We present results of an experiment that combines multiple sources of volunteered geographic information (VGI) and large language models (LLMs). Three analysts described the content of crowdsourced Mapillary stre...
Electric Vehicle (EV) adaptation has rapidly increased over the recent years. This paradigm change provides an important pillar in the United States (U.S.) transportation sector to reach sustainability goals. EVs rely on a network of charging locations to operate. This study analyzes the spatial distribution, accessibility, and usage patterns of th...
Introduction Technological advancements, such as smartphones with GPS receivers, cheap devices, and wide internet availability, have advanced the generation of geospatial content by non-professionals (or volunteers) resulting in large open geographic databases. This has been referred to as Volunteered Geographic Information (VGI). Waze and OpenStre...
This is the editorial of the Proceedings of the Academic Track at the State of the Map (SotM) 2022 conference, which took place as a hybrid event in Florence, Italy on August 19-21, 2022 as well as an online event. The editorial introduces and describes the 19 short papers included in the Proceedings and presented at the conference, highlighting th...
This paper explores Null Island, a fictional place located at 0° latitude and 0° longitude in the WGS84 (World Geodetic System 1984) geographic coordinate system. Null Island is erroneously associated with large amounts of geographic data in a wide variety of location-based services, place databases, social media and web-based maps. Whereas it was...
This study mapped and analyzed urban tree canopy change between 2014 and 2019 within the Urban Development Boundary of Miami-Dade County, Florida. The goal was to identify local areas of tree canopy gain or loss over this 5-year period. The comparison is based on land cover maps delineated from WorldView-2 satellite data applying a random forest cl...
This paper explores Null Island, a fictional place located at 0$^\circ$ latitude and 0$^\circ$ longitude in the WGS84 geographic coordinate system. Null Island is erroneously associated with large amounts of geographic data in a wide variety of location-based services, place databases, social media and web-based maps. While it was originally consid...
This paper is an Editorial for the Special Issue titled “OpenStreetMap as a multidisciplinary nexus: perspectives, practices and procedures”. The Special Issue is largely based on the talks presented in the 2019 and 2020 editions of the Academic Track at the State of the Map conferences. As such, it represents the most pressing and relevant issues...
Comparison of routes recommended by online trip planners, such as Google Maps and MapQuest, with routes traveled by cyclists allows estimation of whether the routing criteria used in such trip planners are the same as those used by cyclists. This study uses GPS tracking data from the Endomondo fitness tracker app from trips in Miami-Dade (Florida)...
The academic community frequently engages with OpenStreetMap (OSM) as a data source and research subject, acknowledging its complex and contextual nature. However, existing literature rarely considers the position of academic research in relation to the OSM community. In this paper we explore the extent and nature of engagement between the academic...
Created by volunteers since 2004, OpenStreetMap (OSM) is a global geographic database available under an open access license and currently used by a multitude of actors worldwide. This chapter describes the role played by OSM during the early months (from January to July 2020) of the ongoing COVID-19 pandemic, which - in contrast to past disasters...
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 challengesnof urban complex systems requires advanced interdisciplinary analysis...
Sea Level Rise (SLR) and storm surges are a threat to coastal communities in South Florida. Residents face the increased frequency of tidal flooding and associated economic losses. This paper presents a web-based SLR impact assessment tool that was developed for the City of Coral Gables, Florida. The tool is able to dynamically visualize the inunda...
At the time of writing most governments around the whole world are prioritising the limiting of the spread of the Covid-19 epidemic through a series of lockdown measures affecting schools, sports, leisure, commercial and travel activities. The gradual reversal of these measures is being carried out individually by countries and regions based on the...
In less than 150 years our carbon society transformed the planet. Today more than 50% of ecologies in the world are determined by unsustainable industrialization processes. The latest IPCC reports show that we are quickly arriving at points of no return in the warming of our planet. We cannot afford to continue in the same direction, we need a new...
SafeGraph is a commercial provider of massive Point of Interest (POI) data, including visitation patterns in North America. Although the data source does not share specific travel trajectories, the data available includes daily and monthly POI visitation numbers for over 160 categories, as well as information about where visitors come from and whic...
Due to the high demand for cheap construction materials, clay-made brick manufacturing has become a thriving industry in Bangladesh, with manufacturing kilns heavily concentrated in the peripheries of larger cities and towns. These manufacturing sites, known as brickfields, operate using centuries-old technologies which expel dust, ash, black smoke...
This work presents an initial inquiry into the relations between the Academic and Mapping communities in OpenStreetMap, based on a review of recent publications, interviews of colleagues, and self-reflection of the authors. By this, we aim to understand how and when research-community interactions come to be, what is their nature, and how can these...
State of the Map featured a full day of academic talks. Building upon the motto of SotM 2019 in "Bridging the Map" the Academic Track session was aimed to provide the bridge to join together the experience, understanding, ideas, concepts and skills from different groups of researchers, academics and scientists from around the world. In particular,...
Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyze user activities and social behavior. Although crowd-sourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the different social media platforms target differ...
Numerous online trip planners, such as Google Maps and MapQuest, offer trip recommendations for cycling among other transportation modes. Whereas these platforms are widely used, little is known about the routing criteria embedded into their routing algorithms, and, more specifically, how recommended trips differ from routes travelled by cyclists....
Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of...
Geo-social media users tend to use different services simultaneously. Whereas significant research attention was put into analyzing contribution patterns to individual social-media platforms, it is less known how the same individual user uses different services. This pilot
study analyzes the spatial behavior of users in multiple geo-social media se...
Snapchat is a widely popular social-media platform among young people. In an update in February 2018, a web-based version of Snap Map was released. Besides using Snapchat for peer-to-peer chatting, users can submit photos and short videos to this feature. Snap Map was found to be useful for the dissemination of breaking news (e.g. protests) and the...
A variety of location based services, including navigation, geo-gaming, advertising, and vacation planning, rely on Point of Interest (POI) data. Mapping platforms and social media apps oftentimes host their own geo-datasets which leads to a plethora of data sources from which POIs can be extracted. Therefore it is crucial for an analyst to underst...
Volunteered Geographic Information (VGI) refers to spatial data generated by ordinary citizens through their online activities. The era of Web 2.0 experienced a rapid growth both in the number of available VGI platforms and in the number of users who engage in such activities. VGI is already proven to be useful for a number of applications, ranging...
For the full paper please refer to:
Juhász, Levente, and Hartwig H. Hochmair. "Where to catch ‘em all?–a geographic analysis of Pokémon Go locations." Geo-spatial Information Science 20(3), (2017): 241-251. DOI: 10.1080/10095020.2017.1368200
This dataset contains:
- Poémon Gym locations
- PokéStop locations
- Pokémon encounters (with timestamps)
An increasing number of crowdsourced geo-data repositories and their services allows volunteer mappers to utilize information from various data sources when contributing data to a crowd-sourced mapping platform. This study explores to which extent OpenStreetMap (OSM) contributors use the crowdsourced street level photo service Mapillary to derive m...
An increasing number of Volunteered Geographic Information (VGI) and social media platforms have been continuously growing in size, which have provided massive georeferenced data in many forms including textual information, photographs, and geoinformation. These georeferenced data have either been actively contributed (e.g., adding data to OpenStre...
Twitter and Instagram are social networking services that allow users to share images. To
some extent, both platforms provide means for the user to annotate images with
geographic location information. Using a selection of images shared through these two
platforms, this study compares the photographer’s position, which is manually estimated
from th...
Mapillary is a VGI platform which allows users to contribute crowdsourced street level photographs from all over the world. Due to unique information that can be extracted from street level photographs but not from aerial or satellite imagery, such as the content of road signs, users of other VGI Web 2.0 applications start to utilize Mapillary for...
In recent years, the increased frequency of inland excess water in the Carpathian Basin gets more and more attention. The authors developed a web based pilot application for disaster management, with special emphasis on inland excess water hazard management. Free and open source software was used to generate a model, and our work was based on Web G...
Mapillary, founded in early 2014, is a Web 2.0 application that allows voluntary users to contribute street level photographs from all over the world. This paper analyses the growth in uploaded data and contributor numbers over time, and assesses data completeness by comparing Mapillary with Google Street View and OpenStreetMap data for selected ci...
Questions
Questions (2)
I am interested in seeing whether the focus of GIScience studies have shifted over the last few decades from being more local or regional in scale towards global. My assumption is that due to the availability and accessibility of global datasets (e.g. user generated data) and technical advancements that make it possible to analyse these datasets triggered a shift in geographic focus.
In a recent review of OpenStreetMap related publications, we found that 6.5% of analyzed publications had a global focus [1] . I was wondering if there are similar review papers that are broader in scope.
I found the IJGIS paper and followed the link to http://opa.openstreetmap.me/ but it looks like the site is down.