Mapping In The Cloud
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Mapping in the Cloud
Author: Michael P. Peterson
language: en
Publisher: Guilford Publications
Release Date: 2014-03-27
This engaging text provides a solid introduction to mapmaking in the era of cloud computing. It takes students through both the concepts and technology of modern cartography, geographic information systems (GIS), and Web-based mapping. Conceptual chapters delve into the meaning of maps and how they are developed, covering such topics as map layers, GIS tools, mobile mapping, and map animation. Methods chapters take a learn-by-doing approach to help students master application programming interfaces and build other technical skills for creating maps and making them available on the Internet. The companion website offers invaluable supplementary materials for instructors and students. Pedagogical features: End-of-chapter summaries, review questions, and exercises. Extensive graphics illustrating the concepts and procedures. Downloadable PowerPoints for each chapter. Downloadable code files (where applicable) for the exercises.
New Research in Crime Modeling and Mapping Using Geospatial Technologies
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.
Planning and Roadmapping Technological Innovations
Author: Tugrul U. Daim
language: en
Publisher: Springer Science & Business Media
Release Date: 2014-01-04
Across industries, firms vary broadly on how they operate with respect to their Research & Development (R&D) activities. This volume presents a holistic approach to evaluating the critical elements of R&D management, including planning, organization, portfolio management, project management, and knowledge transfer—by assessing R&D management from different sectors. Featuring empirical research and in-depth case studies from industries as diverse as medical imaging, electric vehicles, and cyber security, the authors identify common features of successful R&D management, despite fundamental differences, such as company size, number of employees, industry sector, and the R&D budget. In particular, they consider the implications for decision making with respect to resource allocation and investments, such as site selection, purchasing, and cross-departmental communication.