Cities are under continuous pressure due to an increasing urbanization which will have far-reaching consequences for housing, transportation, retail, etc. To cope with these challenges, methodological advances in quantitative modeling... more
Cities are under continuous pressure due to an increasing urbanization which will have far-reaching consequences for housing, transportation, retail, etc. To cope with these challenges, methodological advances in quantitative modeling cou-pled with growing amounts of spatial and spatiotemporal data can add significantly to our understanding of how cities function. Because the added value of data-driven approaches to analyze urban environments is promising but still in its infancy, the present volume aims to promote the application of advanced computational methodologies to achieve a better understanding of our cities and the underlying mechanisms.
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Background Predictive policing and crime analytics with a spatiotemporal focus get increasing attention among a variety of scientific communities and are already being implemented as effective policing tools. The goal of this paper is to... more
Background Predictive policing and crime analytics with a spatiotemporal focus get increasing attention among a variety of scientific communities and are already being implemented as effective policing tools. The goal of this paper is to provide an overview and evaluation of the state of the art in spatial crime forecasting focusing on study design and technical aspects. Methods We follow the PRISMA guidelines for reporting this systematic literature review and we analyse 32 papers from 2000 to 2018 that were selected from 786 papers that entered the screening phase and a total of 193 papers that went through the eligibility phase. The eligibility phase included several criteria that were grouped into: (a) the publication type, (b) relevance to research scope, and (c) study characteristics. Results The most predominant type of forecasting inference is the hotspots (i.e. binary classification) method. Traditional machine learning methods were mostly used, but also kernel density esti...
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Human activities in marine coastal areas may coincide with protected areas for birds. Some of these anthropogenic activities may pose threats, such as gillnet fisheries, which can significantly affect populations of diving birds,... more
Human activities in marine coastal areas may coincide with protected areas for birds. Some of these anthropogenic activities may pose threats, such as gillnet fisheries, which can significantly affect populations of diving birds, especially gregarious species that gather in huge flocks in small areas such as Greater Scaup (Aythya marila). The Odra Estuary (Baltic Sea, Poland) is known for its importance as a wintering site for scaup; it is also used by fishermen using gillnets. Precise tools to determine the distribution and abundance of birds allow evaluation of risks faced by large aggregations. We used kernel density interpolation to estimate the spatial density of scaup in the Odra Estuary in spring 2011. At that time, an extraordinarily high number of scaup (95,400) was recorded, ~73% (63.0–94.5%) of the entire northwest European flyway population. Three variables are particularly important for conserving highly mobile long-distance migrating species: spatial distribution, abun...
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Avian and terrestrial scavengers play a critical role in both forensic anthropology and archaeological investigations by (1) accelerating decomposition through rapid tissue removal, (2) causing pseudo perimortem trauma on the bones, and... more
Avian and terrestrial scavengers play a critical role in both forensic anthropology and archaeological investigations by (1) accelerating decomposition through rapid tissue removal, (2) causing pseudo perimortem trauma on the bones, and (3) dispersing the remains from the original deposition site. Previous studies have noted that vultures accelerate decay and much attention has been given to the impacts terrestrial scavengers have on physical anthropology investigations. However, few studies have assessed differentiating and quantifying avian and terrestrial scavenging evidence occurring on the same set of skeletal remains. To address the challenges in distinguishing avian from terrestrial skeletal trauma, we placed 43 deceased pigs in the fresh stage of decay across 6,000 km 2 in south central Texas during 2011 and 2012. The pigs were not protected from either avian or terrestrial scavengers and each scavenging sequence was monitored via remote infrared photography. Results revealed that turkey vultures (Cathartes aura) and black vultures (Coragyps atratus) were the most frequent scavenger (N=38) at the 43 pig trials and the gray fox (N=8) (Urocyon cinereoargenteus) was the most frequent terrestrial scavenger. However, the crested caracara (Caracara cheriway) had the greatest impact on the presence or absence of skeletal remains because this bird did not consume the remains but instead would grab a bone and then fly away. Knowledge of the caracara's tendency to steal bones from a site both during and after scavenging episodes of vultures and other terrestrial scavengers can offer knew insight as to why expected skeletal data is absent from deposition sites.
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ABSTRACT Cyberspace (Gibson, 1984) is a digital wonderland for people to meet with their friends, to share their ideas, and to create their dreams. Social media are built upon cyberspace to enable hybrid multimedia communications and... more
ABSTRACT Cyberspace (Gibson, 1984) is a digital wonderland for people to meet with their friends, to share their ideas, and to create their dreams. Social media are built upon cyberspace to enable hybrid multimedia communications and social networking with user-preferred content (created by users, users’ friends, or preferred media channels). By using smart phones, personal computers, and mobile devices, we use social media to both populate the content of cyberspace and to record our daily lives in the real world. The sharing of online content and social media facilitates a strong linkage between cyberspace and realspace (Tsou 2011). The digitization of social media and user-generated content (such as Facebook, Twitter, Flickr, Instagram, Pinterest, YouTube, and Picasa) has transformed our society into two interconnected worlds. GIScientists can now trace, monitor, and map the spread of social movements, protests, disease outbreaks, nature hazards, elections, political campaigns, etc. in cyberspace by digitally collecting social media and online content. These research efforts can help scientists understand the diffusion of innovations (Roger 1962; Hägerstrand 1967), a dynamic process whereby new concepts, ideas, and technologies spread through our society via communication networks or media over time. However, much has yet to be understood regarding how to locate and interpret online space and real world places (Warf and Sui 2010) and also how those dynamics relate to the real world and our communities. Whether researchers seek to understand how ideas spread and lead to action or to develop alert systems for real life dangers (e.g., disease; Ginsberg et al. 2009), a vital aspect is to identify strengths and limitations of methodologies and approaches to analyzing and visualizing online activities. The study of cyberspace activities and social media content may facilitate the emergence of a data-driven computational social science (Lazer et al. 2009) and a paradigm shift in social science (Miller 2011).
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Page 1. Guidelines for the Display of Attribute Certainty Michael Leitner and Barbara P. Buttenfield ABSTRACT: This research investigates how the inclusion of attribute certainty in map displays influences GIS modeling and spatial... more
Page 1. Guidelines for the Display of Attribute Certainty Michael Leitner and Barbara P. Buttenfield ABSTRACT: This research investigates how the inclusion of attribute certainty in map displays influences GIS modeling and spatial decision support. ...
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In this paper we forecast hotspots of street crime in Portland, Oregon. Our approach uses geosocial media posts, which define the predictors in geographically weighted regression (GWR) models. We use two predictors that are both derived... more
In this paper we forecast hotspots of street crime in Portland, Oregon. Our approach uses geosocial media posts, which define the predictors in geographically weighted regression (GWR) models. We use two predictors that are both derived from Twitter data. The first one is the population at risk of being victim of street crime. The second one is the crime related tweets. These two predictors were used in GWR to create models that depict future street crime hotspots. The predicted hotspots enclosed more than 23% of the future street crimes in 1% of the study area and also outperformed the prediction efficiency of a baseline approach. Future work will focus on optimizing the prediction parameters and testing the applicability of this approach to other mobile crime types.
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Spatial crime analysis, together with perceived (crime) safety analysis have tremendously benefitted from Geographic Information Science (GISc) and the application of geospatial technology. This research study discusses a novel... more
Spatial crime analysis, together with perceived (crime) safety analysis have tremendously benefitted from Geographic Information Science (GISc) and the application of geospatial technology. This research study discusses a novel methodological approach to document the use of emerging geospatial technologies to explore perceived urban safety from the lenses of fear of crime or crime perception in the city of Baton Rouge, USA. The mixed techniques include a survey, spatial video geonarrative (SVG) in the field with study participants, and the extraction of moments of stress (MOS) from biosensing wristbands. This study enrolled 46 participants who completed geonarratives and MOS detection. A subset of 10 of these geonarratives are presented here. Each participant was driven in a car equipped with audio recording and spatial video along a predefined route while wearing the Empatica E4 wristbands to measure three physiological variables, all of them linked by timestamp. The results show d...
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On 22 April 2018, the authors were invited by the Editor-in-Chief, Prof [...]
Law enforcement is very interested in knowing when a crime has happened. Unfortunately, the occurrence time of a crime is often not exactly known. In such circumstances, estimating the most likely time that a crime has happened is crucial... more
Law enforcement is very interested in knowing when a crime has happened. Unfortunately, the occurrence time of a crime is often not exactly known. In such circumstances, estimating the most likely time that a crime has happened is crucial for spatio-temporal analysis. The main purpose of this research is to introduce two novel temporal approximation methods, termed retrospective temporal analysis (RTA) and extended retrospective temporal analysis (RTAext). Both methods are compared to six existing temporal approximation methods and subsequently evaluated in order to identify the method that can most accurately estimate the occurrence time of crimes. This research is conducted with 100,000+ burglary crimes from the city of Vienna, Austria provided by the Criminal Intelligence Service Austria, from 2009–2015. The RTA method assumes that crimes in the immediate past occur at very similar times as in the present and in the future. Historical crimes with accurately known time stamps can ...
In this research, the spatial video technology is applied to the collection of soccer-related graffiti locations in the city of Krakow, Poland. Krakow is predestined for this research due to the long and often violent rivalry between fan... more
In this research, the spatial video technology is applied to the collection of soccer-related graffiti locations in the city of Krakow, Poland. Krakow is predestined for this research due to the long and often violent rivalry between fan groups of the two major soccer teams, MKS Cracovia and Wisla Krakow. This form of rivalry is often expressed by the application of graffiti by fans from both clubs, which can be observed in large parts of the city. Graffiti locations were digitized from spatial videos, stored in a Geographic Information System (GIS), and subsequently analyzed to explore (1) the overall spatial pattern, (2) the existence of spatial hotspots, and (3) changes to a previously conducted survey of graffiti locations in 2016. As expected, results indicate that graffiti locations are statistically significantly clustered, with pro-Wisla graffiti mainly concentrating in the north, pro-Cracovia graffiti dominating the south, and pro-Hutnik graffiti mostly found in the east of...
Abstract Currently urban spatial structures are affected by pervasive developments, which provoke a diversity and reorganization of population. This article examines the driving forces that cause urban-to-rural migration of population in... more
Abstract Currently urban spatial structures are affected by pervasive developments, which provoke a diversity and reorganization of population. This article examines the driving forces that cause urban-to-rural migration of population in the Austrian metropolitan area of Vienna using ...
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Access to sanitation facilities is imperative in reducing the risk of multiple adverse health outcomes. A distinct disparity in sanitation exists among different wealth levels in many low-income countries, which may hinder the progress... more
Access to sanitation facilities is imperative in reducing the risk of multiple adverse health outcomes. A distinct disparity in sanitation exists among different wealth levels in many low-income countries, which may hinder the progress across each of the Millennium Development Goals. The surveyed households in 397 clusters from 2008-2009 Kenya Demographic and Health Surveys were divided into five wealth quintiles based on their national asset scores. A series of spatial analysis methods including excess risk, local spatial autocorrelation, and spatial interpolation were applied to observe disparities in coverage of improved sanitation among different wealth categories. The total number of the population with improved sanitation was estimated by interpolating, time-adjusting, and multiplying the surveyed coverage rates by high-resolution population grids. A comparison was then made with the annual estimates from United Nations Population Division and World Health Organization /United...
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... systems. 2. Public health--Data processing. [DNLM: 1. Geographic Information Systems. 2. Infant Mortality. 3. Community Health Planning. 4. Pregnancy, High-Risk. WS 16 G345 2006] I. Curtis, Andrew, 1967-II. Leitner, Michael ...
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ABSTRACT This chapter seeks to improve upon current disaster research in the discipline of geography by expanding the geographic study of hazards beyond the event and into the recovery process. A review of current disaster based... more
ABSTRACT This chapter seeks to improve upon current disaster research in the discipline of geography by expanding the geographic study of hazards beyond the event and into the recovery process. A review of current disaster based literature in geography illustrates a lack of comprehensive research by geographers in the arena of disaster recovery. It appears as if established researchers in this field are content to focus their efforts on the issues preceding disasters, as well as the immediate response to, and physical results of disaster events. The responsibility of understanding the topic of reco very has thus far been the primary focus of researchers in the fields of social science and public administration. This study will utilize Geographic Information Technology (GIT) to assess the level of recovery, determine the most appropriate scale to study the spatial aspects of recovery, and identify spatial indicators of recovery in New Orleans, Louisiana as of February 2008. KeywordsDisaster recovery–Recovery index–Spatial model–Hazards geography–Program evaluation
The 2004 and 2005 hurricane seasons dramatically demonstrated the magnitude of the societal significance of hurricanes, negatively impacting on all scales from the personal to the national. Although definitive identification of the... more
The 2004 and 2005 hurricane seasons dramatically demonstrated the magnitude of the societal significance of hurricanes, negatively impacting on all scales from the personal to the national. Although definitive identification of the forcing mechanisms controlling hurricane tracks and landfall patterns remains elusive, increasing evidence supports the hypothesis that the increase in hurricane activity along the Gulf Coast is due to a southwestward shift in the position of the Bermuda High. This research uses multiple visualization techniques to explore the spatial correlation between Bermuda High strengths - as interpreted from the North Atlantic Oscillation (NAO) index - and hurricane tracks. Using hurricane vector data from the National Oceanic and Atmospheric Administration(NOAA) Hurricane Data set (HURRDAT) and NAO index data since 1947, the hypothesized spatial relationships were investigated. Due to the vast number of storm track segments (more than 17,000), displaying all segme...
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A common concern when working with health‐related data is that national standard guidelines are designed to preserve individual statistical information, usually recorded as text or in a spreadsheet format (‘statistical confidentiality’),... more
A common concern when working with health‐related data is that national standard guidelines are designed to preserve individual statistical information, usually recorded as text or in a spreadsheet format (‘statistical confidentiality’), but lack appropriate rules for visualizing this information on maps (‘spatial confidentiality’). Privacy rules to protect spatial confidentiality become more and more important, as governmental agencies increasingly incorporate Geographic Information Systems (GIS) as a tool for collecting, storing, analysing, and disseminating spatial information. The purpose of this paper is to propose the first step of a general framework for presenting the location of confidential point data on maps using empirical perceptual research. The overall objective is to identify geographic masking methods that preserve both the confidentiality of individual locations, and at the same time the essential visual characteristics of the original point pattern.
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Page 1. Acquisition of Procedural Cartographic Knowledge by Reverse Engineering Michael Leitner and BarbaraP. Buttenfield ABSTRACT: Successful implementation of an intelligent systemfor automated map generalization ...