Gudrun Wallentin

• Dr
• Professor at University of Salzburg

Spatial Simulation is a spatially explicit, bottom-up modelling approach that includes individual-based models and cellular automata. While spatial heterogeneity and individual variation have been considered as noise in the past, this is exactly what has become the centre of interest of the individual-based paradigm in ecology. According to Individ...

Entities and processes in complex systems are of diverse nature and operate at various spatial and temporal scales. Hybrid agent-based (AB) and system dynamics (SD) models have been suggested to capture the essence of these systems in a natural and computationally efficient way. However, the integration of the equation-based SD and individual-based...

Conventionally, agent-based modelling approaches start from a conceptual model capturing the theoretical understanding of the systems of interest. Simulation outcomes are then used “at the end” to validate the conceptual understanding. In today’s data rich era, there are suggestions that models should be data-driven. Data-driven workflows are commo...

In addition to the effects of climate change, land use change is expected to trigger dynamic processes that may shift alpine tree lines upwards. To gain a conceptual understanding of the spatio-temporal processes shaping tree line patterns, we developed an individual-based and spatially-explicit model of spontaneous forest regeneration at the alpin...

An understanding of the sources of uncertainty in an ecological model proves beneficial for: 1 developing a structurally valid model in a systematic way; 2 deciding if further refinement of the conceptual model is beneficial for the modelling purpose; and 3 interpreting the overall model uncertainty by understanding its sources. Our approach result...

Taking into account and combining different levels of scale is essential in species distribution models when it comes to the investigation of the environmental niche of a species. The study focuses on two levels of spatial extent, on the one hand the continental level of Europe, and on the other hand the regional level of the federal state of Tyrol...

Mobility data of cyclists and pedestrians are fundamental for design and planning strategies of sustainable smart cities. However, adequate data is commonly scarce, expensive to acquire, or hardly accessible. For overcoming this shortcoming and providing support in planning processes, we propose an agent-based model that simulates bicycle and pedes...

Natural language processing systems like ChatGPT recently gained enormous attention in the field of higher education. We aim to contribute to this discussion by scrutinising the suitability of current testing methods and potentially necessary shifts in learning objectives in GIScience. This paper presents an anecdotal approach of the impact of Chat...

Time series animation of choropleth maps easily exceeds our perceptual limits. In this empirical research, we investigate the effect of local outlier preserving value generalization of animated choropleth maps on the ability to detect general trends and local deviations thereof. Comparing generalization in space, in time, and in a combination of bo...

Transport planning strategies regard cycling promotion as a suitable means for tackling problems connected with motorized traffic such as limited space, congestion, and pollution. However, the evidence base for optimizing cycling promotion is weak in most cases, and information on bicycle patterns at a sufficient resolution is largely lacking. In t...

In this research, we discuss five design parameters found in cognitive studies related to animated choropleth maps and compare existing studies accordingly. With reference to these parameters, we present the design of an experiment to assess how different forms of value generalization in choropleth map animation affect the perception of overall tre...

A species’ distribution across the landscape is not random, but it is affected by distribution, size, abundance and connectivity of landscape patches. This spatial configuration of the landscape shapes ecological processes, for example the location of home ranges, migration routes and migration ability. Landscape metrics describe the configuration...

Background: The first outbreak of coronavirus disease 2019 (COVID-19) was successfully restrained in many countries around the world by means of a severe lockdown. Now, we are entering the second phase of the pandemics in which the spread of the virus needs to be contained within the limits that national health systems can cope with. This second p...

We developed a bicycle traffic flow model that produces disaggregated spatio-temporal distribution of bicyclists. We took Salzburg region (Austria) as study area. The model adopts concepts of the agent-based modelling approach, where every minute of diverse travelling patterns of individuals are reproduced. Based on demographic data, mobility data...

Poster with the intermediate results of building an agent-basedmodel to simulate visitor streams at the Harz National Park.

Conventional ABMs are formalized from well established theory of the systems of interest. Simulation outcomes are then used to va lid of the conceptual understanding. Integration of real - time sensor data streams into modelling workflows opens up the possibility to simulate on the go where calibration and validation procedures are automated proces...

Currently, mainly aggregated statistics are used for bicycle crash risk calculations. Thus, the understanding of spatial patterns at local scale levels remains vague. Using an agent-based flow model and a bicycle crash database covering 10 continuous years of observation allows us to calculate and map the crash risk on various spatial scales for th...

Advances in sensor technology have triggered the development of model-sensor frameworks that integrate real-time sensor data into simulation models. Successful implementations include sensor streams of physical properties of the environment, and traces of human mobility as captured by mobile devices. Implementation of real-time sensor-data streams...

Traditional accident risk prediction models need adequate data on explanatory variables, most importantly data on traffic flows. However, in the case of accidents between bicycles the availability of such data is often limited. Therefore, alternative bottom-up simulation modelling approaches are expected to complement traditional equation-based mod...

The movement and transport of people and goods is spatial by its very nature. Thus, geospatial fundamentals of transport systems need to be adequately considered in transport models. Until recently, this was not always the case. Instead, transport research and geography evolved widely independently in domain silos. However, driven by recent concept...

Full text: http://authors.elsevier.com/a/1Shga3RpEO6Z0k Most bicycle crash analyses are designed as explanatory studies. They aim to identify contributing risk factors and calculate risk rates based on – most of the time – highly aggregated statistical data. In contrast to such explanatory study designs, the presented study follows an exploratory...

The urbanisation and infrastructure development in Bhutan are expanding at a fast pace and it has been observed that these processes are causing a decrease in the forest cover, agricultural area and shrub lands. This paper attempts to analyse land use land cover (LULC) changes in Bhutan over a period of thirteen years from 2000 to 2013. The images...

Bicycles play an increasingly important role in sustainable traffic strategies of urban areas. Recent research thus strives to contribute to a better understanding of the spatio-temporal distribution of cycle trips and emerging cycle traffic flow patterns. In this paper we use an agent-based modelling approach to simulate cycle traffic of the City...

The advances in open data, free and open source software solutions and open access to research publications have influenced the emergence of open educational resources (OER) initiatives. These initiatives permit access to openly licensed learning resources including courses, webinars, training materials and textbooks. Thereby, an increasing number...

The Body of Knowledge for Geographic Information Science and Technology (GIS&T BoK) has been the main reference document for curriculum design in the geospatial domain. Today, the BoK is supposed to have fallen short in adequately covering the domain due to significant conceptual and technological advances in the field. Thus, several initiatives ar...

Mountain areas are particularly vulnerable to global climate- and land-use change processes. Global phenomena thereby affect local mountain ecosystems in very different ways, depending on the respective ecological and social backgrounds. Accordingly, there is no one-fits-all adaptation strat- egy. Simulation modelling offers a means to explore sce...

This report describes the situation in 2014 with regard to the demand for and the supply of education and training in the domain of geographic information (“GI”). It is the outcome of an analysis of the results of two simultaneous internet surveys, directed at two target groups in 25 European countries. The first target group, the demand side, cons...

Geographic Information Science & Technology (GIS&T) is constantly evolving in scientific and technological terms. In 2006 the GIS&T Body of Knowledge (BoK) initiative has provided a domain inventory that serves as a structured basis for curriculum development. The content and structure of the BoK are currently undergoing revision. One of the projec...

The Western Caucasian plant Heracleum mantegazzianum (Giant Hogweed) is invading various parts of Europe at fast pace. This invasion is problematic, because the phytotoxic sap of Heracleum mantegazzianum can cause severe inflammations in human skin. To effectively take management actions, the potential spatial distribution of Giant Hogweed in Europ...

Im Landesverein für Höhlenkunde in Salzburg (LVHKS) gibt es seit Sommer 2011 eine Frauenforschergruppe, die sich etwas augenzwinkernd den Namen „Mascara Team“ gegeben hat. Das anvisierte Objekt waren die damals forschungsmäßig verwaisten Windlöcher (1339/31) in der Nordabdachung des Untersberges, südlich der Stadt Salzburg. Die vermessene Länge der...

Zugl.: Innsbruck, Univ., Diplomarbeit.