De/colonizing OpenStreetMap? Local mappers, humanitarian and commercial actors and the changing modes of collaborative mapping

In its early days, the geodata and mapping project OpenStreetMap (OSM) was widely celebrated for opening up and “democratizing” the production of geographic knowledge. However, critical research highlights that the new socio-technical practices of collaborative mapping often also produce or reproduce patterns of exclusion, not least in the area of relative data density between the Global South and North. These findings notwithstanding, we consider it important to acknowledge the increasing number of contributions of geodata from regions outside the old European core of OSM. This expansion of geodata production in OSM is related to a diversification of OSM actors and socio-technical practices. While OSM has often been described as a crowd-based project bringing together thousands of individual craft mappers, our analysis of OSM metadata indicates new institutional actors are gaining relevance. These developments have not only resulted in new collaborations but also conflicts between local mapping communities and institutional actors. We interpret these processes in two ways. First, the expansion of mapping activities can be viewed as a decolonizing process, whereby quantitative differences in data density between the Global North and South are partly reduced and new groups of local mappers are empowered to produce geographic knowledge. Second, these new developments can also be understood as colonizing processes. The engagement of large commercial actors in OSM raises concerns that the project (and its local mappers) could be used as a new means of data extraction and that in particular new and diverse voices in the OSM community are marginalized by a fixation on economically exploitable, modernistic and universalistic epistemologies. However, this supposedly clear distinction should not obscure the fact that colonizing and decolonizing processes intertwine in complex ways.

Digital Urban Planning Platforms

This article discusses platformization and its impact on urban planning. Platformization refers to an increased utilization of platform logic in society. In urban planning, it is manifest in the emergence of digital co-production platforms. They offer a range of genuinely beneficial features—especially digitally-assisted collaborative mapping, ideation, sharing, and analytics—and facilitated integration of citizen input into democratic planning system. As such, they have a potential to develop into a new urban planning model that meets the needs of a complex late modern society.

Map Merging with Suppositional Box for Multi-Robot Indoor Mapping

For the map building of unknown indoor environment, compared with single robot, multi-robot collaborative mapping has higher efficiency. Map merging is one of the fundamental problems in multi-robot collaborative mapping. However, in the process of grid map merging, image processing methods such as feature matching, as a basic method, are challenged by low feature matching rate. Driven by this challenge, a novel map merging method based on suppositional box that is constructed by right-angled points and vertical lines is proposed. The paper firstly extracts right-angled points of suppositional box selected from the vertical point which is the intersection of the vertical line. Secondly, based on the common edge characteristics between the right-angled points, suppositional box in the map is constructed. Then the transformation matrix is obtained according to the matching pair of suppositional boxes. Finally, for matching errors based on the length of pairs, Kalman filter is used to optimize the transformation matrix. Experimental results show that this method can effectively merge map in different scenes and the successful matching rate is greater than that of other features.

AUTHORITATIVE CARTOGRAPHY IN BRAZIL AND COLLABORATIVE MAPPING PLATFORMS: CHALLENGES AND PROPOSALS FOR DATA INTEGRATION

Brazil has a large area with missing or outdated mapping on the largest scales of its authoritative mapping. The use of data from collaborative mapping platforms appears as an alternative that may contribute to minimizing this problem, either by updating or completing the mapping coverage in Brazil, as proposed or performed by some National Mapping Agencies abroad. The present work aims to analyze a methodology to provide accurate and documented integration of volunteered geographic information and the Brazilian authoritative mapping. The proposal starts with the semantic compatibility between the conceptual models adopted in both official cartography and OpenStreetMap platform. The research continues with the identification of object classes with the most significant potential for integration. Finally, we developed some experiments to evaluate and validate the OSM data integration process in a 1:25,000 scale cartographic database. Even in regions with a recent mapping, the results of the preliminary assessment indicate the potential for an increase of about 52% and 16% of features in the ‘road system’ category, which suggests a very promising method for use in areas with missing or outdated mapping, and its applicability to other categories.