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Evaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem / Jonathan K. Nelson in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 1 (January 2017) . - pp 35 - 50 Titre : Evaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem Type de document : Article/Communication Auteurs : Jonathan K. Nelson, Auteur ; Cynthia A. Brewer, Auteur Année de publication : 2017 Article en page(s) : pp 35 - 50 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse diachronique [Termes IGN] exploration de données géographiques [Termes IGN] maladie non infectieuse [Termes IGN] mise à l'échelle [Termes IGN] Pennsylvanie (Etats-Unis) [Termes IGN] problème d'unité zonale modifiable [Termes IGN] regroupement de données Résumé : (auteur) Socioeconomic and health analysts commonly rely on areally aggregated data, in part because government regulations on confidentiality prohibit data release at the individual level. Analytical results from areally aggregated data, however, are sensitive to the modifiable areal unit problem (MAUP). Levels of aggregation as well as the arbitrary and modifiable sizes, shapes, and arrangements of zones affect the validity and reliability of findings from analyses of areally aggregated data. MAUP, long acknowledged, remains unresolved. We present an exploratory spatial data analytical approach (ESDA) to understand the scalar effects of MAUP. To characterize relationships between data aggregation structures and spatial scales, we develop a method for statistically and visually exploring the local indicators of spatial association (LISA) exhibited between a variable and itself across varying levels of aggregation. We demonstrate our approach by analyzing the across-scale relationships of aggregated 2010 median income for the State of Pennsylvania and 2005–2009 cancer diagnosis rates for the State of New York between county–tract, tract–block group, and county–block group level US census designated enumeration units. This method for understanding the relationship between MAUP and spatial scale provides guidance to researchers in selecting the most appropriate scales to aggregate, analyze, and represent data for problem-specific analyses. Numéro de notice : A2017-100 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1093431 En ligne : https://doi.org/10.1080/15230406.2015.1093431 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84479 [article]

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Evaluating maps in a massive open online course [mooc] / Anthony C. Robinson in Cartographic perspectives, n° 80 (2015)  

Public [article]  inCartographic perspectives > n° 80 (2015) . - pp 6 - 17 Titre : Evaluating maps in a massive open online course [mooc] Type de document : Article/Communication Auteurs : Anthony C. Robinson, Auteur ; Jonathan K. Nelson, Auteur Année de publication : 2015 Article en page(s) : pp 6 - 17 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Formation [Termes IGN] apprentissage en ligne [Termes IGN] cartographie [Termes IGN] cours en ligne ouverts à tous [Termes IGN] évaluation par les pairs Résumé : (auteur) New forms of cartographic education are becoming possible with the synthesis of easy to use web GIS tools and learning platforms that support online education at a massive scale. The internet classroom can now support tens of thousands of learners at a time, and while some common types of assessments scale very easily, others face significant hurdles. A particular concern for the cartographic educator is the extent to which original map designs can be evaluated in a massive open online course (MOOC). Based on our experiences in teaching one of the first MOOCs on cartography, we explore the ways in which very large collections of original map designs can be assessed. Our methods include analysis of peer grades and qualitative feedback, visual techniques to explore design methods, and quantitative comparison between expert ratings and peer grades. The results of our work suggest key challenges for teaching cartography at scale where instructors cannot provide individual feedback for every student. Numéro de notice : A2015--076 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14714/CP80.1299 En ligne : http://dx.doi.org/10.14714/CP80.1299 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83984 [article]