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Assessing housing growth when census boundaries change / A. Syphard in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)
[article]
Titre : Assessing housing growth when census boundaries change Type de document : Article/Communication Auteurs : A. Syphard, Auteur ; S. Stewart, Auteur ; J. Mckeefry, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 859 - 876 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] base de données d'occupation du sol
[Termes IGN] bâtiment
[Termes IGN] croissance urbaine
[Termes IGN] densité de population
[Termes IGN] figuration de la densité
[Termes IGN] habitat (urbanisme)
[Termes IGN] limite administrative
[Termes IGN] occupation du sol
[Termes IGN] Oregon (Etats-Unis)
[Termes IGN] recensement démographiqueRésumé : (Auteur) The US Census provides the primary source of spatially explicit social data, but changing block boundaries complicate analyses of housing growth over time. We compared procedures for reconciling housing density data between 1990 and 2000 census block boundaries in order to assess the sensitivity of analytical methods to estimates of housing growth in Oregon. Estimates of housing growth varied substantially and were sensitive to the method of interpolation. With no processing and areal-weighted interpolation, more than 35% of the landscape changed; 75-80% of this change was due to decline in housing density. This decline was implausible, however, because housing structures generally persist over time. Based on aggregated boundaries, 11% of the landscape changed, but only 4% experienced a decline in housing density. Nevertheless, the housing density change map was almost twice as coarse spatially as the 2000 housing density data. We also applied a dasymetric approach to redistribute 1990 housing data into 2000 census boundaries under the assumption that the distribution of housing in 2000 reflected the same distribution as in 1990. The dasymetric approach resulted in conservative change estimates at a fine resolution. All methods involved some type of trade-off (e.g. analytical difficulty, data resolution, magnitude or bias in direction of change). However, our dasymetric procedure is a novel approach for assessing housing growth over changing census boundaries that may be particularly useful because it accounts for the uniquely persistent nature of housing over time. Copyright Taylor & Francis Numéro de notice : A2009-339 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802359877 En ligne : https://doi.org/10.1080/13658810802359877 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29969
in International journal of geographical information science IJGIS > vol 23 n° 7-8 (july 2009) . - pp 859 - 876[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-09051 RAB Revue Centre de documentation En réserve L003 Disponible 079-09052 RAB Revue Centre de documentation En réserve L003 Disponible Population-density estimation using regression and area-to-point residual kriging / X. Liu in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)
[article]
Titre : Population-density estimation using regression and area-to-point residual kriging Type de document : Article/Communication Auteurs : X. Liu, Auteur ; P. Kyriakidis, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2008 Article en page(s) : pp 431 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] densité de population
[Termes IGN] figuration de la densité
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (Auteur) Census population data are associated with several analytical and cartographic problems. Regression models using remote-sensing covariates have been examined to estimate urban population density, but the performance may not be satisfactory. This paper describes a kriging-based areal interpolation method, namely area-to-point residual kriging, which can be used to disaggregate the residuals remaining from regression. Compared with conventional cokriging, the area-to-point residual kriging is much simpler in that only a semivariogram model for the point residuals is required, as opposed to a set of auto- and cross-semivariogram models involving the dependent variable and all the covariates. In addition, area-to-point residual kriging explicitly accounts for any scale differences between source data and target values. The method is illustrated by disaggregating population from census units to the land-use zones within them. Comparative results for regression with and without area-to-point residual kriging show that area-to-point residual kriging can substantially improve interpolation accuracy. Copyright Taylor & Francis Numéro de notice : A2008-148 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701492225 En ligne : https://doi.org/10.1080/13658810701492225 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29143
in International journal of geographical information science IJGIS > vol 22 n° 4-5 (april 2008) . - pp 431 - 447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08031 RAB Revue Centre de documentation En réserve L003 Disponible 079-08032 RAB Revue Centre de documentation En réserve L003 Disponible Dasymetric modelling of small-area population distribution using land cover and light emissions data / D.J. Briggs in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
[article]
Titre : Dasymetric modelling of small-area population distribution using land cover and light emissions data Type de document : Article/Communication Auteurs : D.J. Briggs, Auteur ; J. Gulliver, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 451 - 466 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Corine Land Cover
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] données statistiques
[Termes IGN] figuration de la densité
[Termes IGN] flux lumineux
[Termes IGN] image DMSP-OLS
[Termes IGN] image satellite
[Termes IGN] intensité lumineuse
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (Auteur) Despite the improvements made in census procedures over recent decades, the availability of detailed population data is limited. For many applications, including environmental and health analyses, methods are therefore needed to model population distribution at the small-area level. With the development of GIS and remote sensing techniques, the ability to develop such models has greatly improved. This paper describes a GIS-based approach using remotely sensed land cover and nighttime light emissions data to model population distribution at the land parcel level across the European Union. Light emission data from the DMSP satellites were first resampled and modelled using kriging and inverse distance weighting methods to provide a 200-m resolution light emissions map. This was then matched to CORINE land cover classes across the EU. Regression methods were used to derive models of relationships between census population counts (at NUTS 5 level) and land cover area and light emissions. Models were developed at both national and EU scale, using a range of different modelling strategies. Model performance, as indicated by the regression statistics, was seen to be good, with R2 typically in the order of 0.8–0.9 and SEE ca. 4000 people. In southern countries, especially, incorporation of light emissions data was found to improve model performance considerably compared to models based only on land cover data. More detailed post hoc validation in Great Britain, using independent data on population at census tract (enumeration district and output area) and postcode level, for 1991 and 2001, showed that models gave good predictions of population at the 1 km level (R2 > 0.9), but were less reliable at resolutions below ca. 500 m. Impending enhancements in the available land cover and light emissions data are expected to improve the capability of this modelling approach in the future. Numéro de notice : A2007-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.11.020 En ligne : https://doi.org/10.1016/j.rse.2006.11.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28663
in Remote sensing of environment > vol 108 n° 4 (29 June 2007) . - pp 451 - 466[article]Mapping population distribution in the urban environment: the cadastral-based expert dasymetric system (CEDS) / J.A. Maantay in Cartography and Geographic Information Science, vol 34 n° 2 (April 2007)
[article]
Titre : Mapping population distribution in the urban environment: the cadastral-based expert dasymetric system (CEDS) Type de document : Article/Communication Auteurs : J.A. Maantay, Auteur ; A.R. Maroko, Auteur ; C. Herrmann, Auteur Année de publication : 2007 Article en page(s) : pp 77 - 102 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger
[Termes IGN] cartographie thématique
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] environnement
[Termes IGN] figuration de la densité
[Termes IGN] milieu urbain
[Termes IGN] santé
[Termes IGN] système d'information géographique
[Termes IGN] système expertRésumé : (Auteur) This paper discusses the importance of determining an accurate depiction of total population and specific sub-population distribution for urban areas in order to develop an improved “denominator,” which would enable the calculation of more correct rates in GIS analyses involving public health, crime, and urban environmental planning. Rather than using data aggregated by arbitrary administrative boundaries such as census tracts, we use dasymetric mapping, an areal interpolation method using ancillary information to delineate areas of homogeneous values. We review previous dasymetric mapping techniques (which often use remotely sensed land-cover data) and contrast them with our technique, Cadastral-based Expert Dasymetric System (CEDS), which is particularly suitable for urban areas. The CEDS method uses specific cadastral data, land-use filters, modeling by expert system routines, and validation against various census enumeration units and other data. The CEDS dasymetric mapping technique is presented through a case study of asthma hospitalizations in the Bronx, New York City, in relation to proximity buffers constructed around major sources of air pollution. The case study shows the impact that a more accurate estimation of population distribution has on a current environmental justice and health disparities research project, and the potential of CEDS for other GIS applications. Copyright CaGISociety Numéro de notice : A2007-303 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304007781002190 En ligne : https://doi.org/10.1559/152304007781002190 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28666
in Cartography and Geographic Information Science > vol 34 n° 2 (April 2007) . - pp 77 - 102[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-07021 RAB Revue Centre de documentation En réserve L003 Disponible Dasymetric mapping and areal interpolation: implementation and evaluation / C.L. Eicher in Cartography and Geographic Information Science, vol 28 n° 2 (April 2001)
[article]
Titre : Dasymetric mapping and areal interpolation: implementation and evaluation Type de document : Article/Communication Auteurs : C.L. Eicher, Auteur ; Cynthia A. Brewer, Auteur Année de publication : 2001 Article en page(s) : pp 125 - 138 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] carte choroplèthe
[Termes IGN] démographie
[Termes IGN] données statistiques
[Termes IGN] erreur
[Termes IGN] figuration de la densité
[Termes IGN] implémentation (informatique)
[Termes IGN] interpolation spatialeRésumé : (Auteur) Dasymetric maps display statistical data in meaningful spatial zones. Such maps can be preferable to choropleth maps that show data by enumeration zones, because dasymetric zones more accurately represent underlying data distributions. Though dasymetric mapping has existed for well over a century, the methods for producing these maps have not been thoroughly examined. In contrast, research on areal interpolation has been more thorough and has examined methods of transferring data from one set of map zones to another, an issue that is applicable to dasymetric mapping. Inspired by this work, we tested five dasymetric mapping methods, including methods derived from work on areal interpolation. Dasymetric maps of six socio-economic variables were produced for a study area of 159 counties in the eastern US rising county choropleth data and ancillary land-use data. Both polygonal (vector) and grid (raster) dasymetric methods were tested. We evaluated map accuracy using both statistical analyses and visual presentations of error. A repeated-measures analysis of variance showed that the traditional limiting variable method had significantly lower error than the other four methods. In addition, polygon methods had lower error than their grid-based counterparts, though the difference was not statistically significant. Error maps largely supported the conclusions from the statistical analysis, while also presenting patterns of error that were not obvious from the statistics. Numéro de notice : A2001-101 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304001782173727 En ligne : https://doi.org/10.1559/152304001782173727 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21801
in Cartography and Geographic Information Science > vol 28 n° 2 (April 2001) . - pp 125 - 138[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-01021 RAB Revue Centre de documentation En réserve L003 Disponible