This talk presents an initial inquiry into the relations between the Academic and Mapping communities in OpenStreetMap, based on a review of recent publications, interviews of colleagues, and self-reflection of the authors. By this, we aim to understand how and when research-community interactions come to be, what is their nature, and how can these be improved and made more productive for both sides.
Workforce Development and YouthMappers: Understanding perceptions of students in humanitarian mapping.
Patricia Solís and Sushil Rajagopalan
The study tried to understand how and to what extent particular extracurricular (informal) activities through YouthMappers could impact workforce preparation and perceptions among students globally engaged in humanitarian mapping. full abstract - pdf
“Ohsome” OpenStreetMap Data Investigation for Cities in Brazil and Germany
Carolin Klonner, Maximilian Hartman, Lily Djam and Alexander Zipf
For an adequate use of OpenStreetMap data, its quality needs to be known beforehand. We developed a tool, which bundles different intrinsic quality-related analyses, generates visualizations, and provides CSV files of the results. It is possible to perform analyses on multiple bounding boxes for the comparison of different regions. In contrast to many other approaches, this tool does not require a local database to work on, but accesses the OpenStreetMap history data via the ohsome-API. full abstract - pdf
Contextualizing OpenStreetMap in Mapping Favelas in Brazil
Everton Bortolini and Silvana Philippi
Favelas in Brazil are spaces with unique characteristics and need to be mapped. Can OpenStreetMap be an alternative tool for this? full-abstract - pdf
How Knowing the Purpose of Mapping Changes the Map and the Mappers Themselves
Patricia Solís
YouthMappers engages university students in humanitarian mapping which provides a potentially valuable learning experience beyond creating the open map. It may also pique new mappers’ interest, satisfaction, and confidence in spatial technologies as well as interest in the people and places that are served by humanitarian mapping projects. This presentation shares findings of a recently published study assessing how contextual information about the purpose of the humanitarian mapping task affects mapping and mappers themselves. full abstract - pdf
OpenStreetMap as Space
Dipto Sarkar and So Hoi Kay
Can OSM be used in classroom teaching as a definitive instance of a geographic space? We provide instances of how OSM as space may be of interest to researchers and for students of geography alike. Concepts of human geography manifested in OSM can be used to understand how digital geographies and offline activities are intrinsically interwoven with and influenced by each other. Thus, introduction to digital geography in classrooms can be through concepts in human geography. full abstract - pdf
In this research, the OSM-Notes feature is mainly viewed as data that can be examined speedily from OSM data globally in terms of the content of the notes posted and the location of users.
The OpenStreetMap (OSM) community is a global community crossing cultures, languages, and geographical boundaries. Researchers have been working to develop automated approaches to understanding the composition of this community through their contributions to the OSM database. In this talk we propose a new and novel application of theories and models of species abundance from ecological science to understand contributor community structure and distributions in OSM.
The time OSM mappers invest in labeling the world is valuable. We present how methods from remote sensing, big data distributed computing and artificial intelligence can be combined to support human analysis of geo-spatial data.
We propose a model that uses only open data for estimating the minimal energy use of individual buildings for heating and cooling at scale. The workflow is divided in two main blocks: (i) predicting at scale a 3D building stock using OpenStreetMap data, and (ii) estimating the energy use of buildings individually with a back-end model.
Travelers have high expectations of their route planners. We explore how preprocessing techniques applied to Linked Open Data derived from OSM (Routable Tiles) can provide a satisfying performance for client-side route planning.
This study adopts a statistical approach based on Exploratory Spatial Data Analysis to identify underlying contribution patterns of OpenStreetMap (OSM). Univariate and multivariate analyses on a number of variables computed from OSM history on a regular hexagonal grid in Milan (Italy) allow to detect a number of both local clusters and local outliers, which shed light on the complexity of OSM temporal evolution driven by active local contributors and communities, data imports and mapping parties.
More than 17 million edits globally have been made by paid contributors in the last five years. We look at the long history of corporate involvement in OSM and then dig into the data to quantify the impact this latest evolution of corporate involvement is having on the map and explore the interactions between paid and volunteer mappers.
This presentation describes the nature and life-cycle of carto-vandalism through a data-driven analysis of harmful edits originated from Pokémon Go players. It also assesses how the OSM community reacts to vandalism.
In this talk, large scale data production events in OSM are identified, characterized, and their spatio-temporal patterns and impacts are analyzed. The results show that remote mapping events produce more data today than bulk imports, yet that the former type has a more lasting impact on representation, hence pointing towards possible steps for maximizing the positive influences of events of different types.
There are 250 million refugees and IDPs in informal settlements that are routinely excluded from population and settlement datasets as well as Sustainable Development Goals (SDGs) assessments. Here, we share results from ongoing research to map and assess SDG indicators at global informal settlements using OSM data and satellite imagery. We present a new OSM-driven schema for monitoring SDG progress that counters the exclusion of informal settlements from other assessments.
This study examines OpenStreetMap data quality at different stages of a participatory mapping process developed for understanding inequalities in healthcare access of informal urban residents in Africa and Asia. Recent studies have examined quality intrinsically and extrinsically. However, in both cases, the data production processes are often not completely transparent to researchers, therefore limiting possibilities for systematic data quality analysis of the processes leading to OpenStreetMap update.
OpenStreetMap provides a lot of valuable information about urban green spaces, but the numerous and conceptually overlapping OSM tags that describe such features lead to spatially heterogenous representations in OSM. We developed an exploratory data analysis methodology to identify locally relevant OSM tags for mapping green spaces in a specific area and compared the extracted OSM features to administrative data to evaluate the level of completeness in regard to urban green spaces.