In this study, we address the problem of supervised change detection for robotic map learning applications, in which the aim is to train a place-specific change classifier (e.g., support vector machine (SVM)) to predict changes from a robot's view image. An open question is the manner in which to partition a robot's workspace into places (e.g., SVMs) to maximize the overall performance of chang...

Our view of environment for context-aware applications is a place, which contains devices, digital services and people with their social contexts. Therefore, understanding place will contribute to the successful of applications. In this paper, we introduce two issues: (i) there is a need for sharing context knowledge about place; (ii) using a multiagent framework for modeling place will improve...

This article evaluates developments in the ecological analysis of crime, which have found their most recent expression in a Criminology of Place. We argue that theoretical and methodological deficiencies are evident in the Criminology of Place and associated literatures with respect to their underlying treatment of place, time and causation. Big Data holds promise for helping address these shor...