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dc.date.accessioned 2023-10-12T17:40:30Z
dc.date.available 2023-10-12T17:40:30Z
dc.date.issued 2023
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/158884
dc.description.abstract Many citizen science projects that carry out survey tasks based on location require that the territory to be studied be fragmented into smaller areas with the objectives of, on the one hand, keeping a record of the level of coverage of the regions, and on the other hand, to present spatially bounded objectives to the volunteers of the project. In some cases the sampling areas are related to a terrain feature, such as when surveying the shores of rivers and lakes. Therefore, the afore-mentioned segmentation must respect the topographical shape of the geographical object to be studied (river or lake).In this work, this type of tessellation is defined as topographic tessellation (TT). Aiming at building the TT, indicating the distance it should have from the shore and the specific measurements of each smaller area is needed. This article presents a framework for the automatic generation of topographic tessellations, which are sets of disjoint and adjacent polygons that form a mosaic following the shape of a georeferenced geometry, and builds a new geographical layer. This tool is useful for spatial-task asignment decision-making. en
dc.format.extent 103-116 es
dc.language en es
dc.subject topographic tessellations es
dc.subject automatic generation es
dc.subject spatial-task es
dc.subject decision-making es
dc.title Coastline generator: a tool for generating topographic tessellations around polygons and lines en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2303-5 es
sedici.creator.person Lattanzio, Bruno J. es
sedici.creator.person Dalponte Ayastuy, María Nieves es
sedici.creator.person Torres, Diego es
sedici.description.note This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2022
sedici.relation.event Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/158339 es
sedici.relation.bookTitle Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)