OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data

Abstract OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire world. The level of detail of OSM data and its data quality vary much across different regions and domains. In order to analyse such variations it is often necessary to research the history and evolution of the OSM data. The OpenStreetMap History Database (OSHDB) is a new data analysis tool for spatio-temporal geographical vector data. It is specifically optimized for working with OSM history data on a global scale and allows one to investigate the data evolution and user contributions in a flexible way. Benefits of the OSHDB are for example: to facilitate accessing OSM history data as a research subject and to assess the quality of OSM data by using intrinsic measures. This article describes the requirements of such a system and the resulting technical implementation of the OSHDB: the OSHDB data model and its application programming interface

Analysis of OpenStreetMap data quality at different stages of a participatory mapping process : evidence from slums in Africa and Asia

This paper examines OpenStreetMap data quality at different stages of a participatory mapping process in seven slums in Africa and Asia. Data were drawn from an OpenStreetMap-based participatory mapping process developed as part of a research project focusing on understanding inequalities in healthcare access of slum residents in the Global South. Descriptive statistics and qualitative analysis were employed to examine the following research question: What is the spatial data quality of collaborative remote mapping achieved by volunteer mappers in morphologically complex urban areas? Findings show that the completeness achieved by remote mapping largely depends on the morphology and characteristics of slums such as building density and rooftop architecture, varying from 84 in the best case, to zero in the most difficult site. The major scientific contribution of this study is to provide evidence on the spatial data quality of remotely mapped data through volunteer mapping efforts in morphologically complex urban areas such as slums; the results could provide insights into how much fieldwork would be needed in what level of complexity and to what extent the involvement of local volunteers in these efforts is required

Analyzing the spatio-temporal patterns and impacts of large-scale data production events in OpenStreetMap

Grinberger et al. (2019). Analyzing the spatio-temporal patterns and impacts of large-scale data production events in OpenStreetMap In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 9-10. Heidelberg, Germany, September 21-23, 2019. Available at https://zenodo.org/communities/sotm-2019 DOI: 10.5281/zenodo.338767

Analysis of OpenStreetMap data quality at different stages of a participatory mapping process : evidence from informal urban settings

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

Guía de buenas prácticas en el tambo

Con el objetivo de concentrar varios esfuerzos aislados que se han llevado a cabo en el país, INTA y APROCAL han tenido la iniciativa de convocar a especialistas y representantes del sector lechero nacional para trabajar en el desarrollo de una Guía de Buenas Prácticas en el tambo, consensuada entre los diferentes representantes del sector lechero. Esta guía, de libre acceso, procura ser una propuesta de fácil interpretación para ser consultada permanentemente por parte de quienes trabajan y conducen los establecimientos lecheros para apoyarse en aspectos que hacen al aseguramiento de la calidad en el tambo. Através de la misma se pretende brindar recomendaciones de Buenas Prácticas para maximizar la producción y la calidad de leche en sistemas productivos sustentables. El establecimiento lechero es un sistema complejo, integrad por diferentes eslabones, y es por este motivo que este material se presenta organizado en capítulos, los que se consideran pilares de las Buenas Prácticas: ordeño e higiene, sanidad animal, alimentación, ambiente, bienestar animal, condiciones de los trabajadores en el tambo.Fil: Rampone, Alberto Oscar José. Universidad Nacional de Villa María; ArgentinaFil: Abdala, Alejandro Ariel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: González Pereyra, Ana Valeria. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Leiva, Antonio. Empresa SanCor; ArgentinaFil: Callieri, Carlos. Asociación Pro Calidad de Leche y sus Derivados; ArgentinaFil: Pendini, Carlos Rafael. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Tentor, Gonzalo Fernán. No especifíca;Fil: Sardi, Graciela Maria Isabel. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Gigli, Isabel. Universidad Nacional de La Pampa; ArgentinaFil: González, Joaquín. Instituto Nacional de Tecnología Agropecuaria. Fundación Argeninta; ArgentinaFil: Rodríguez, Julián Marcelo. Empresa La Lácteo; ArgentinaFil: Raciti, Julio. Empresa Manfrey; ArgentinaFil: García, Karina Elizabet. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Troilo, Liliana Graciela. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Negri Rodríguez, Livia María. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Brunas, Lucas. Empresa García Hermanos; ArgentinaFil: Martinez Luque, Luciana. Universidad Católica de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Calvinho, Luis Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Signorini, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Bontá, Marcos Adrián. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Herrero, Maria Alejandra. Universidad de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Aimar, Maria Veronica. Universidad Católica de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Larrauri, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; ArgentinaFil: Gaggiotti, Mónica del Carmen. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Serrano, Pedro Miguel. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Charlon, Veronica. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; Argentin