Le canton d’hier à aujourd’hui : étude cartographique d’un maillage

Ozouf-Marignier, Marie-Vic; Verdier, Nicolas

doi:10.4000/books.pur.100047

“…To increase the sample size of each spatial unit, we used the canton as the statistical unit. The canton is an administrative unit that pools communes , with a mean area of 140 km 2 and a mean population of approximately 16 000 inhabitants (Ozouf-Marignier and Verdier, 2009).…”

Section: Methodsmentioning

confidence: 99%

Detecting nested clusters of human alveolar echinococcosis

Said-Ali

¹

,

Grenouillet

²

,

Knapp

³

et al. 2013

View full text Add to dashboard Cite

Recent changes in the epidemiology of alveolar echinococcosis (AE) in Eurasia have led to increasing concerns about the risk of human AE and the need for a thorough evaluation of the epidemiological situation. The aim of this study was to explore the use of a National Register to detect complex distribution patterns on several scales. The data were human AE cases from the FrancEchino register, diagnosed in France from 1982 to 2011. We used the Kulldorff spatial scan analysis to detect non-random locations of cases. We proposed an exploratory method that was based on the successive detection of nested clusters inside each of the statistically significant larger clusters. This method revealed at least 4 levels of disease clusters during the study period. The spatial variations of cluster location over time were also shown. We conclude that National Human AE registers, although not exempted from epidemiological biases, are currently the best way to achieve an accurate representation of human AE distribution on various scales. Finally, we confirm the multi-scale clustered distribution of human AE, and we hypothesize that our study may be a reasonable starting point from which to conduct additional research and explore the processes that underlie such distributions.

show abstract

“…Overall, except for these two events and the creation of five dozen cantons (documented in Supplementary Table 5), general administrative constituencies remained relatively stable throughout the Third Republic. 32,33 Figure 7 displays the evolution of their number between 1870 and 1940: from 87 to 90 départements, from 279 to 385 arrondissements, and from 2,861 to 3,028 cantons. Figure 8 further displays the geographic configuration of these administrative constituencies at four key dates: 1870, 1871, 1919, and 1926.…”

Section: General Administrative Constituenciesmentioning

confidence: 99%

“…Information supporting TRF-GIS nomenclatures documented in secondary sources (the HAC database and other secondary sources [30][31][32][33][34][35][36][37][38][39][40][41]43 ) were thoroughly verified against primary sources. Supplementary Table 20 details the content of each of the 175 primary sources used for this verification procedure: the constituency they are relevant to, their codification (date of official issue and type), their title, their persistent identifier (PID) assigned by Gallica and the National Library of France (BNF) in archival resource key (ARK) form, and their origin.…”

Section: Technical Validation Trf-gis Nomenclaturesmentioning

confidence: 99%

Mapping the Third Republic: A Geographic Information System of France (1870–1940)

Gay

¹

2021

Historical Methods: A Journal of Quantitative and Interdiscipli

View full text Add to dashboard Cite

This article describes a comprehensive geographic information system of Third-Republic France: the TRF-GIS. It provides annual nomenclatures and shapefiles of administrative constituencies of metropolitan France from 1870 to 1940, encompassing general administrative constituencies (départements, arrondissements, cantons) as well as the most significant special administrative constituencies: military, judicial and penitentiary, electoral, academic, labor inspection, and ecclesiastical constituencies. It further proposes annual nomenclatures at the contemporaneous commune level that map each municipality into its corresponding administrative framework along with its population count. The 901 nomenclatures, 830 shapefiles, and complete reproduction material along with primary sources of the TRF-GIS database are available at https://dataverse.harvard.edu/dataverse/TRF-GIS. 2/36While nearly all communes of 2011 were created by 1793, some were not until after 1870. For these 737 communes, I assign the constituencies their parent commune belonged to prior to their existence. For instance, the commune of Voisinlieu was created from Allonne in 1930, a parent commune that belonged to the département of Oise between 1870 and 1929. Hence, Voisinlieu is assigned to the département of Oise in the base frames for the shapefiles 1870-1929.Commune-level polygons are then dissolved to create general administrative constituency-level polygons. The construction of special administrative constituency shapefiles relies on this initial characterization, as these constituencies were generally based on the general administrative framework constituted by départements, arrondissements, and cantons. TRF-GIS nomenclaturesAnnual constituency-level nomenclatures use contemporaneous toponymies and codifications as provided in the HAC database for general administrative constituencies. For special administrative constituency nomenclatures, I rely on historical sources.

show abstract

“…Overall, except for these two events and the creation of five dozen cantons (documented in Supplementary Table 5), general administrative constituencies remained relatively stable throughout the Third Republic. 32,33 Figure 7 displays the evolution of their number between 1870 and 1940: from 87 to 90 départements, from 279 to 385 arrondissements, and from 2,861 to 3,028 cantons. Figure 8 further displays the geographic configuration of these administrative constituencies at four key dates: 1870, 1871, 1919, and 1926.…”

Section: General Administrative Constituenciesmentioning

confidence: 99%

“…Information supporting TRF-GIS nomenclatures documented in secondary sources (the HAC database and other secondary sources [30][31][32][33][34][35][36][37][38][39][40][41]43 ) were thoroughly verified against primary sources. Supplementary Table 20 details the content of each of the 175 primary sources used for this verification procedure: the constituency they are relevant to, their codification (date of official Figure 1.…”

Section: Trf-gis Nomenclaturesmentioning

confidence: 99%

Mapping the Third Republic. A Geographic Information System of France (1870–1940).

Gay

¹

2020

SSRN Journal

1

0

View full text Add to dashboard Cite

This article describes a comprehensive geographic information system of Third-Republic France: the TRF-GIS. It provides annual nomenclatures and shapefiles of administrative constituencies of metropolitan France from 1870 to 1940, encompassing general administrative constituencies (départements, arrondissements, cantons) as well as the most significant special administrative constituencies: military, judicial and penitentiary, electoral, academic, labor inspection, and ecclesiastical constituencies. It further proposes annual nomenclatures at the contemporaneous commune level that map each municipality into its corresponding administrative framework along with its population count. The 901 nomenclatures, 830 shapefiles, and complete reproduction material along with primary sources of the TRF-GIS database are available at https://dataverse.harvard.edu/dataverse/TRF-GIS. regions and subdivisions), judicial constituencies (courts of appeal and of first instance), penitentiary constituencies, electoral constituencies (circonscriptions), academic constituencies (academies), labor inspection constituencies, and ecclesiastical constituencies (dioceses). The TRF-GIS further proposes annual nomenclatures at the contemporaneous commune level that map each municipality into its corresponding administrative framework along with its population count. The construction of TRF-GIS shapefiles uses a methodology different to the manual vectorization of georeferenced historical maps. 7, 13, 16, 17 It first reconstructs the administrative framework contemporaneous communes were embedded in, then aggregates these units into relevant constituencies using modern communes shapefiles. Despite some limitations, this method offers substantial advantages: not only it provides more precise results than existing outputs, but, more importantly, it also enables to circumvent the fundamental problems of non-existence of annual historical maps and of time and resource investments associated with manual vectorization methods. By providing a comprehensively-curated common frame of reference that encompasses all aspects of the French society, the TRF-GIS will help create the conditions for a better understanding of the dramatic socioeconomic changes that France underwent during the seven decades that lasted the Third Republic. Methods General methodology The underlying structure of the TRF-GIS builds on three datasets that are available under open licensing (Figure provides an overview of the construction logic of the TRF-GIS): 1. INSEE's Codes Officiel Géographique (COG) nomenclatures. 18 INSEE's annual COGs provide the official nomenclature of communes and of general administrative constituencies in the geography of a given year. Existing communes are uniquely identified through a five-digit coding scheme, which first two digits correspond to a commune's département and last three to its number within the département, generally assigned in ascending alphabetical order. For instance, the commune of Allonne in the département of Oise (60) holds INSE...

show abstract

Le canton d’hier à aujourd’hui : étude cartographique d’un maillage

Cited by 6 publications

References 0 publications

Detecting nested clusters of human alveolar echinococcosis

Detecting nested clusters of human alveolar echinococcosis

Mapping the Third Republic: A Geographic Information System of France (1870–1940)

Mapping the Third Republic. A Geographic Information System of France (1870–1940).

Contact Info

Product

Resources

About