Michael Leitner – författare

This edited volume offers innovative research and applications in the analysis, modelling, and mapping of crime using geospatial and GeoAI technologies. This is a follow-up publication of an edited volume by the same editor with a similar title, Crime Modeling and Mapping Using Geospatial Technologies, published by Springer in its popular Geotechnologies and the Environment series in 2013.

The book comprises sixteen chapters authored by some of the most esteemed researchers in the field. These chapters are organized into four sections: big data and microspaces (Part I), mobility (Part II), drugs (Part III), and additional geospatial applications (Part IV).

Part I includes five chapters focusing on interactive crime mapping by using large data sets obtained from social media and analyzing these data using AI applications; a fundamental spatial problem that considers spatial properties of a crime dataset to determine an adequate areal unit size; different aspects of the influence or prediction of crime in microspaces; and the use of sampled surface pollen to model the search space for documented forensic cases. Part II has four chapters that introduce two route generation heuristics that automate the creation of hot spots policing patrol routes; discuss how to optimize police response with two different maximal covering location problems; and examine how human mobility patterns impact crime trends and modelling. Part III consists of three chapters addressing opioid overdose patterns using a spatial mixed methods approach; spatial-temporal changes in hot spots of drug-related offences; and how geospatial technology can be used to empower stakeholders to make informed policy decisions about alcohol-related motor vehicle collisions. Part IV comprises four diverse chapters that do not fit under a single theme. The topics discussed include: the impact of video surveillance on the spatial distribution of crime; the identification of the location of missing persons outreach events with spatial clustering analysis methods; an examination of the distribution patterns of all types of juvenile delinquency to investigate underlying factors; and a review and comparison of GeoAI methods for detecting and mapping illegal logging.

This book would be useful to faculty, students and research scholars from geography, sociology, criminal justice, criminology, forensic sciences, and other related disciplines as well as to crime analysts working for law enforcement agencies at the local, state, or federal levels from around the world.

This book aims to promote the synergistic usage of advanced computational methodologies in close relationship to geospatial information across cities of different scales. A rich collection of chapters subsumes current research frontiers originating from disciplines such as geography, urban planning, computer science, statistics, geographic information science and remote sensing. The topics covered in the book are of interest to researchers, postgraduates, practitioners and professionals. The editors hope that the scientific outcome of this book will stimulate future urban-related international and interdisciplinary research, bringing us closer to the vision of a “new science of cities.”

This book promotes the exploitation of novel and emerging approaches for mapping environmental and urban informatics empowered by citizens. Chapters are grouped in three sections representing the main subjects. The first section describes data acquisition and modeling. The second section focuses on the quality and reliability of data. The final section presents different methods of environmental monitoring and perception. The book includes diverse case studies from Mexico, the United States and Czech Republic.Topics covered in Citizen Empowered Mapping are of interest for research scholars, practitioners, postgraduates, and professionals from a variety of disciplines including geography, environmental science, geographic information science, social science, and computer science.

Diffusion in solids at moderate temperatures is a well-known phenomenon.  However, direct experimental evidence about the responsible atomic-scale mechanisms has been scarce, due to difficulties in probing the relevant length- and time-scales. The present thesis deals with the application of X-ray Photon Correlation Spectroscopy (XPCS) for answering such questions. This is an established method for the study of slow dynamics on length-scales of a few nanometres. The scattered intensity in the diffuse regime, i.e. corresponding to atomic distances, is very low, however, and so it has so far been considered impossible to use XPCS for this problem.

Threefold progress is reported in this work: It proposes a number of systems selected for high diffuse intensity, it optimizes the photon detection and data evaluation procedures, and it establishes theoretical models for interpretating the results. Together these advances allowed the first successful atomic-scale XPCS experiment, which elucidated the role of preferred configurations for atomic jumps in a copper-gold alloy. The growth in available coherent X-ray intensity together with next-generation X-ray sources will open up a wide field of application for this new method.