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Cartographic propaganda in the age of social media: Empirical evidence from Ethiopia / Daniel K. Waktola in Cartographica, Vol 57 n° 4 (December 2022)  

Public [article]  inCartographica > Vol 57 n° 4 (December 2022) . - pp 281 - 290 Titre : Cartographic propaganda in the age of social media: Empirical evidence from Ethiopia Type de document : Article/Communication Auteurs : Daniel K. Waktola, Auteur Année de publication : 2022 Article en page(s) : pp 281 - 290 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] désinformation [Termes IGN] Ethiopie [Termes IGN] géopolitique [Termes IGN] information cartographique [Termes IGN] propagande [Termes IGN] représentation cartographique [Termes IGN] réseau social Résumé : (auteur) Cartographic propaganda is a conscious manipulation of a map to influence the reader’s belief. Countries often use it to claim disputed territories or project fear over opposing nations or political alliances, but little is known about the manipulations of maps along internal sociolinguistic and political fault lines on social media platforms. The author investigated the nature and intent of propaganda maps in Ethiopia before and after the 2018 government reform based on six purposely sampled maps prominently circulated on social media. While falling short of the acceptable cartographic qualities, the analysis of sample propaganda maps revealed two fundamental characteristics during the pre- and post-government reform. First, their role shifted from a centripetal force in the political coalition to a centrifugal force in the coalition’s disintegration. Second, their mode of dissemination transitioned from cartographic misinformation to disinformation. The findings of this study contribute empirical evidence to the ongoing cartographic information discourse that lags behind the rapidly changing map-making and map-sharing platforms in the age of geospatial and social media revolutions. Numéro de notice : A2022-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2022-0005 Date de publication en ligne : 01/12/2022 En ligne : https://doi.org/10.3138/cart-2022-0005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102464 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2022041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An automated approach for clipping geographic data before projection that maintains data integrity and minimizes distortion for virtually any projection method / Jim Graham in Cartographica, Vol 57 n° 4 (December 2022)  

Public [article]  inCartographica > Vol 57 n° 4 (December 2022) . - pp 257 - 269 Titre : An automated approach for clipping geographic data before projection that maintains data integrity and minimizes distortion for virtually any projection method Type de document : Article/Communication Auteurs : Jim Graham, Auteur Année de publication : 2022 Article en page(s) : pp 257 - 269 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Projections [Termes IGN] carroyage [Termes IGN] intégrité des données [Termes IGN] polygone [Termes IGN] projection [Termes IGN] Python (langage de programmation) Résumé : (auteur) Selecting a map projection is key to minimizing distortion and thus clear communication of spatial data and accurate spatial analysis. Methods exist for selecting projections based on the intended area of use but not for finding polygons that can be used to clip geographic data to ensure the data are projected correctly and within desired distortion limits. The projection methods available in the Proj library were examined to determine the nature of the errors and distortions they created based on global data and a wide variety of available settings. Approaches were then identified for each projection including simple bounding boxes and more complex clipping polygons. To make sure that errors were not introduced into the projected data, data integrity polygons (DIPs) were created by placing a grid of cells over the Earth and then finding a cell near the origin that was within the specified criteria. Adjacent cells were added to the DIPs that met the criteria until no additional cells could be added. The criteria included projected cell sides could not intersect with themselves or other cells, the order of the cell corners could not be reversed, and distortion within the cell had to be within specified limits. I found that up to two DIPs with a limit on length distortion of a factor of 4 provided a general solution for all but three projection methods. Limitations included the time to find DIPs at high resolution. Clipping polygons and visualizations of the results were made available on a website. Numéro de notice : A2022-923 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0015 Date de publication en ligne : 01/12/2022 En ligne : https://doi.org/10.3138/cart-2021-0015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102465 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2022041	RAB	Revue	Centre de documentation	En réserve L003	Disponible