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Cartograflow. Filtering Origin-Destination matrices For Flow Mapping Purposes in R

Abstract : The purpose of this communication is to present the implementation of {Cartograflow}, an R/Rstudio package dedicated to filtering Origin-Destination matrices for flow mapping purposes. It’s first main interest is to combine the preparation of flow dataset and their spatial representation within the same package. The second main interest of {Cartograflow} is that the proposed filtering functions are specifically part of the corpus of quantitative analysis methods in geography. This is why they are particularly interested, for examples, in the concentration of information, as well as the role of the geographic space in terms of the spacing of places of origin and destination by the distance travelled by the flow (in terms of distance and neighborhood). Finally, it is to be part of an open and reproducible research approach (Peng, 2011), compatible with existing solutions - mainly {sp}, {sf} and {cartography} (Giraud, Lambert, 2016), while opening possibilities to data describing spatial interactions patterns.
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https://halshs.archives-ouvertes.fr/halshs-02937178
Contributor : Françoise Bahoken <>
Submitted on : Monday, September 14, 2020 - 11:42:27 AM
Last modification on : Tuesday, April 20, 2021 - 4:28:04 PM

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  • HAL Id : halshs-02937178, version 1

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Françoise Bahoken. Cartograflow. Filtering Origin-Destination matrices For Flow Mapping Purposes in R. European Colloquium on Quantitative and Theoretical Geography (ECQTG'19), Special Session “Spatial interactions”., Sep 2019, Mondorf-les-Bains, France. ⟨halshs-02937178⟩

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