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Connecting historical and contemporary small-area geography in Britain: the creation of digital boundary data for 1971 and 1981 census / N. Walford in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 7 (august 2005) . - pp 749 - 767 Titre : Connecting historical and contemporary small-area geography in Britain: the creation of digital boundary data for 1971 and 1981 census Type de document : Article/Communication Auteurs : N. Walford, Auteur Année de publication : 2005 Article en page(s) : pp 749 - 767 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] délimitation [Termes IGN] données multitemporelles [Termes IGN] Grande-Bretagne [Termes IGN] numérisation automatique [Termes IGN] numérisation de carte [Termes IGN] recensement démographique [Termes IGN] système d'information géographique Résumé : (Auteur) This paper reports on the outcome from a project that has developed a GIS-based procedure to capture digital boundaries for the small spatial units used in the British Population Census in 1981, and for the geographically comparable units connecting back with the previous enumeration in 1971. 1981 census geography was originally recorded as linear and textual annotations on paper base maps that were subsequently microfilmed. Four methods involving varying degrees of automation for capturing digital representations of these census units from the scanned microfilm imagery are evaluated. Details presented are in the context of British census geography before digital capture of small census units became routine, but the evaluation of the methods and the final procedure cover issues that are generally applicable in situations where the capture of historical mapping is attempted. Numéro de notice : A2005-353 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500071832 En ligne : https://doi.org/10.1080/13658810500071832 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27489 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Further developments of a fuzzy set map comparison approach / Alex Hagen-Zanker in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 7 (august 2005) . - pp 769 - 785 Titre : Further developments of a fuzzy set map comparison approach Type de document : Article/Communication Auteurs : Alex Hagen-Zanker, Auteur ; B. Straatman, Auteur ; I. Uljee, Auteur Année de publication : 2005 Article en page(s) : pp 769 - 785 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] carte numérique [Termes IGN] classification dirigée [Termes IGN] données maillées [Termes IGN] estimation de précision [Termes IGN] Kappa de Cohen [Termes IGN] logique floue [Termes IGN] matrice Résumé : (Auteur) Fuzzy set map comparison offers a novel approach to map comparison. The approach is specifically aimed at categorical raster maps and applies fuzzy set techniques, accounting for fuzziness of location and fuzziness of category, to create a similarity map as well as an overall similarity statistic: the Fuzzy Kappa. To date, the calculation of the Fuzzy Kappa (or K-fuzzy) has not been formally derived, and the documented procedure was only valid for cases without fuzziness of category. Furthermore, it required an infinitely large, edgeless map. This paper presents the full derivation of the Fuzzy Kappa; the method is now valid for comparisons considering fuzziness of both location and category and does not require further assumptions. This theoretical completion opens opportunities for use of the technique that surpass the original intentions. In particular, the categorical similarity matrix can be applied to highlight or disregard differences pertaining to selected categories or groups of categories and to distinguish between differences due to omission and commission. Numéro de notice : A2005-354 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500072137 En ligne : https://doi.org/10.1080/13658810500072137 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27490 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Comparison of land cover maps using fuzzy agreement / Steffen Fritz in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 7 (august 2005) . - pp 787 - 807 Titre : Comparison of land cover maps using fuzzy agreement Type de document : Article/Communication Auteurs : Steffen Fritz, Auteur ; Linda M. See, Auteur Année de publication : 2005 Article en page(s) : pp 787 - 807 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] carte d'occupation du sol [Termes IGN] classification floue [Termes IGN] estimation de précision [Termes IGN] incertitude des données [Termes IGN] logique floue [Termes IGN] système expert Résumé : (Auteur) A generic problem associated with different land cover maps that cover the same geographical area is the use of different legend categories. There may be disagreement in many areas when comparing different land cover products even though the legend shows the same or very similar land cover class. To capture the uncertainty associated with both differences in the legend and the difficulty in classification when comparing two land cover maps, expert knowledge and a fuzzy logic framework are used to map the fuzzy agreement. The methodology is illustrated by comparing the Global Land Cover 2000 data set and the MODIS global land cover product. Overall accuracy measures are calculated, and the spatial fuzzy agreement between the two land cover products is provided. This approach can be used to improved the overall confidence in a land cover product, since areas of severe disagreement can be highlighted, and areas can be identified that require further attention and possible re-mapping. Numéro de notice : A2005-355 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500072020 En ligne : https://doi.org/10.1080/13658810500072020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27491 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

RUSLE [revised universal soil loss equation] applied in a GIS framework: calculating the LS factor and deriving homogenous patches for estimating soil loss / L.A. Lewis in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 7 (august 2005) . - pp 809 - 829 Titre : RUSLE [revised universal soil loss equation] applied in a GIS framework: calculating the LS factor and deriving homogenous patches for estimating soil loss Type de document : Article/Communication Auteurs : L.A. Lewis, Auteur ; G. Verstraeten, Auteur ; H. Zhu, Auteur Année de publication : 2005 Article en page(s) : pp 809 - 829 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] érosion [Termes IGN] Flandre (Belgique) [Termes IGN] IDRISI [Termes IGN] Massachusetts (Etats-Unis) [Termes IGN] modèle numérique de terrain [Termes IGN] modèle RUSLE [Termes IGN] surveillance géologique [Termes IGN] système d'information géographique Résumé : (Auteur) The RUSLE (Revised Universal Soil Loss Equation) is integrated within a GIS framework to calculate soil loss spatially. For this module, algorithms and procedures were developed to derive the slope length factor (L) and steepness factor (S) from a DEM, then integrated with the R, K, C, and P factors to develop homogeneous patches (sub-units) within each field or river basin. Soil loss is determined for each patch within a study unit, and then combined to determine the fields' or river basin's average annual and total soil loss. Two case studies are presented. The first case study, in central Massachusetts, compares estimated soil loss values obtained for individual fields using the Idrisi RUSLE module to USDA-NRCS RUSLE field data. While soil loss results were similar, the RUSLE module allows fields to be partitioned into more similar units than practical in the field. This permits detailed spatial analysis of soil-loss patterns. The second case study compares soil-loss estimates for a catchment in southwestern Flanders, Belgium. This model-model comparison contrasts the results from the RUSLE module to the WATEM model-a grid cell based model based on the USLE/RUSLE but conceptualized in a multi-flow context. Results between the predicted soil losses utilizing the two different approaches are significantly correlated. However, estimated soil losses are consistently higher for the WATEM model. This likely reflects the differences between how the two models compute L as well as the contribution of ephemeral gullies and flow convergence which are incorporated in WATEM but not in RUSLE. Numéro de notice : A2005-356 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500105705 En ligne : https://doi.org/10.1080/13658810500105705 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27492 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Using uncertain conceptual spaces to translate between land cover categories / O. Ahlqvist in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 7 (august 2005) . - pp 831 - 857 Titre : Using uncertain conceptual spaces to translate between land cover categories Type de document : Article/Communication Auteurs : O. Ahlqvist, Auteur Année de publication : 2005 Article en page(s) : pp 831 - 857 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] analyse spatiale [Termes IGN] base de données cartographiques [Termes IGN] base de données d'occupation du sol [Termes IGN] carte d'occupation du sol [Termes IGN] Corine Land Cover [Termes IGN] incertitude des données [Termes IGN] interopérabilité sémantique [Termes IGN] modèle sémantique de données [Termes IGN] occupation du sol [Termes IGN] référentiel sémantique [Termes IGN] sous ensemble flou Résumé : (Auteur) To support diversified uses of geographical information there is a need for enhanced spatial data infrastructures to create interoperability between users and producers of geographic data. One important interoperability problem is caused by differences in data semantics, for example heterogeneous land use/land cover classification systems. A critical review of an existing method for semantic interoperability between land cover classifications is used to motivate and introduce a modified framework based on conceptual spaces and rough fuzzy sets. Land cover categories are defined by a set of defining attributes formally represented as a collection of rough fuzzy membership functions and importance weights. This parameterized representation is used to translate between the US Natural Vegetation Classification Standard and the European CORINE Land Cover system based on evaluations of different aspects of semantic similarity between categories. The results demonstrate that the use of different similarity metrics in a conceptual space, together with the explicit rough fuzzy uncertainty representation, increases the semantic separation between land cover categories. Diagrams and maps illustrate the information that can be gained from the semantic similarity assessment. These developments open new possibilities to explore semantic relationships between concepts, both within a classification and between classifications used in different contexts. Numéro de notice : A2005-357 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500106729 En ligne : https://doi.org/10.1080/13658810500106729 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27493 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05072	RAB	Revue	Centre de documentation	En réserve L003	Disponible