Q3135709 (Q3135709): Difference between revisions
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(Created claim: summary (P836): CLIMATIC CHANGE, CROP PREDICTION, FOREST FIRES, NATIONAL DEFENSE, CIVIL PROTECTION, TERRITORIAL ORDERING, ETC., ARE FIELDS WHERE GEOGRAPHIC INFORMATION (IG) SUPPORTS DECISION-MAKING. THE QUALITY OF GI IS KEY TO MAKING DECISIONS TECHNICALLY THE BEST. THE QUALITY OF THE GI IS A KEY ELEMENT AND IS INCLUDED IN THE DATA POLICIES OF THE EUROPEAN ENVIRONMENTAL AGENCY AND THE FEDERAL EMERGENCY MANAGEMENT AGENCY. Thermal QUALITY IS CONSIDERED IN THE INTE...) |
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CLIMATIC CHANGE, CROP PREDICTION, FOREST FIRES, NATIONAL DEFENSE, CIVIL PROTECTION, TERRITORIAL ORDERING, ETC., ARE FIELDS WHERE GEOGRAPHIC INFORMATION (IG) SUPPORTS DECISION-MAKING. THE QUALITY OF GI IS KEY TO MAKING DECISIONS TECHNICALLY THE BEST. THE QUALITY OF THE GI IS A KEY ELEMENT AND IS INCLUDED IN THE DATA POLICIES OF THE EUROPEAN ENVIRONMENTAL AGENCY AND THE FEDERAL EMERGENCY MANAGEMENT AGENCY. Thermal QUALITY IS CONSIDERED IN THE INTERNATIONAL NORMS ON SPACIAL DATA (ISO 19157)._x000D_ The MEMCALIG PROJECT PROPOSES THE CREATION OF A STATE METHOD, based on modelling, which allows to discover and better know the therapeutic quality of the IG. TO DATE, THE EVALUATION OF THE THEMATIC COMPONENT OF THE GI IS BEING CARRIED OUT BY MEANS OF GLOBAL INDEXES (P.E. PERCENTAGE OF AGREEMENT, KAPPA INDEX) OR INDEXES BY CLASS (P.E. USER AND PRODUCER ACCURACY) DERIVED FROM THE CONFUSION MATRIX (MC). MEMCALIG PROPOSES A NEW PERSPECTIVE THAT HAVE TO PERMIT MORE DISCRIMINATION, TANT IN CONJUNT, AS FOR CATEGORIES, AGRUPACIONS OF CATEGORIES OR CELDAS, OR SPECIFIC SITUATIONS OF INTEREST CELDS STABLETED BY USER._x000D_ MEMCALIG is based on TEORIC-EXPERIMENTAL WORKS OF STATE modelling of CONFUSION MATRICES. THE NEW FEATURES OF THE PROPOSAL ARE: 1.) To establish the modelling of MCs in the analysis of dispersed CATEGORICAL DATA under MULTINOMIAL MULTINOMIAL, 2nd) DEVELOPMENT TEST OF JUSTE BONDATE TO DETERMINATION OF MC to MATRICES OF STABLEd VALORS, 3°) DEVELOPMENT TEST OF HOMOGENEITY to determine the SEMEJANCE between MC observed, and 4o) Forming a METOOD FOR THE TREATMENT OF CELD AGRUPACATIONS AND EFFECTING IN THE JUSTE AND HOMOGENEITY BOND TEST._x000D_ OF THE OBJECTIVES shall be derived from methodological advances in validation TECHNICALS OF MODELS that will be implemented in the R Environment (HTTP://WWW.R-PROJECT.ORG) to make your identification._x000D_ CONSIDERAM that MEMCALIG has a great interest in society. ITS APPLICATION TO THE GI CONCERNING THE OBSERVATION OF THE LAND, WILL ALLOW TO DERIVE BETTER TECHNICAL DECISIONS FROM THE AVAILABLE DATA. IN ADDITION, MEMCALIG HAS VERY HIGH INTEREST FOR THE GEOMATIC SECTOR; PROOF IS THE SUPPORT RECEIVED FROM REGIONAL ORGANISATIONS (IECA, ICGC), NATIONAL (IGN) AND OTHER COUNTRIES (MEXICO, BRAZIL), AS WELL AS FROM COMPANIES (TRACASA). ALL OF THEM ARE RENOWNED ORGANISATIONS IN THE GEOMATIC SECTOR AND GENERATE THEMATIC PRODUCTS FOR WHICH MEMCALIG CAN BE VERY BENEFICIAL. These ORGANISATIONS CAN SUBMIT REAL HOUSES AND COLLABORARY IN THE MORE APPLICED ASPECTS OF THE PROJECT._x000D_ MEMCALIG SUPPORT THE CONTINUITY OF THE PROJECT IN THIS PROJECT, A MULTIDISCIPLINARY TEAM OF THE AREAS OF STATISTICS AND GEOMATICA, HAS DEVELOPED STATISTICAL TECHNIQUES FOR THE STUDY OF THE DISTRIBUTION OF SPATIAL PATTERNS OF POINTS USING AS BASE THE CURVES THAT FILL THE SPACE, AND THE MUTINOMIAL DISTRIBUTION AS A THEORETICAL MODEL. MEMCALIG ADVANCES AND OPENS A NEW FIELD IN THE USE OF MULTINOMIAL DISTRIBUTION TO EVALUATE THE THEMATIC QUALITY OF GI. (English) | |||||||||||||||
| Property / summary: CLIMATIC CHANGE, CROP PREDICTION, FOREST FIRES, NATIONAL DEFENSE, CIVIL PROTECTION, TERRITORIAL ORDERING, ETC., ARE FIELDS WHERE GEOGRAPHIC INFORMATION (IG) SUPPORTS DECISION-MAKING. THE QUALITY OF GI IS KEY TO MAKING DECISIONS TECHNICALLY THE BEST. THE QUALITY OF THE GI IS A KEY ELEMENT AND IS INCLUDED IN THE DATA POLICIES OF THE EUROPEAN ENVIRONMENTAL AGENCY AND THE FEDERAL EMERGENCY MANAGEMENT AGENCY. Thermal QUALITY IS CONSIDERED IN THE INTERNATIONAL NORMS ON SPACIAL DATA (ISO 19157)._x000D_ The MEMCALIG PROJECT PROPOSES THE CREATION OF A STATE METHOD, based on modelling, which allows to discover and better know the therapeutic quality of the IG. TO DATE, THE EVALUATION OF THE THEMATIC COMPONENT OF THE GI IS BEING CARRIED OUT BY MEANS OF GLOBAL INDEXES (P.E. PERCENTAGE OF AGREEMENT, KAPPA INDEX) OR INDEXES BY CLASS (P.E. USER AND PRODUCER ACCURACY) DERIVED FROM THE CONFUSION MATRIX (MC). MEMCALIG PROPOSES A NEW PERSPECTIVE THAT HAVE TO PERMIT MORE DISCRIMINATION, TANT IN CONJUNT, AS FOR CATEGORIES, AGRUPACIONS OF CATEGORIES OR CELDAS, OR SPECIFIC SITUATIONS OF INTEREST CELDS STABLETED BY USER._x000D_ MEMCALIG is based on TEORIC-EXPERIMENTAL WORKS OF STATE modelling of CONFUSION MATRICES. THE NEW FEATURES OF THE PROPOSAL ARE: 1.) To establish the modelling of MCs in the analysis of dispersed CATEGORICAL DATA under MULTINOMIAL MULTINOMIAL, 2nd) DEVELOPMENT TEST OF JUSTE BONDATE TO DETERMINATION OF MC to MATRICES OF STABLEd VALORS, 3°) DEVELOPMENT TEST OF HOMOGENEITY to determine the SEMEJANCE between MC observed, and 4o) Forming a METOOD FOR THE TREATMENT OF CELD AGRUPACATIONS AND EFFECTING IN THE JUSTE AND HOMOGENEITY BOND TEST._x000D_ OF THE OBJECTIVES shall be derived from methodological advances in validation TECHNICALS OF MODELS that will be implemented in the R Environment (HTTP://WWW.R-PROJECT.ORG) to make your identification._x000D_ CONSIDERAM that MEMCALIG has a great interest in society. ITS APPLICATION TO THE GI CONCERNING THE OBSERVATION OF THE LAND, WILL ALLOW TO DERIVE BETTER TECHNICAL DECISIONS FROM THE AVAILABLE DATA. IN ADDITION, MEMCALIG HAS VERY HIGH INTEREST FOR THE GEOMATIC SECTOR; PROOF IS THE SUPPORT RECEIVED FROM REGIONAL ORGANISATIONS (IECA, ICGC), NATIONAL (IGN) AND OTHER COUNTRIES (MEXICO, BRAZIL), AS WELL AS FROM COMPANIES (TRACASA). ALL OF THEM ARE RENOWNED ORGANISATIONS IN THE GEOMATIC SECTOR AND GENERATE THEMATIC PRODUCTS FOR WHICH MEMCALIG CAN BE VERY BENEFICIAL. These ORGANISATIONS CAN SUBMIT REAL HOUSES AND COLLABORARY IN THE MORE APPLICED ASPECTS OF THE PROJECT._x000D_ MEMCALIG SUPPORT THE CONTINUITY OF THE PROJECT IN THIS PROJECT, A MULTIDISCIPLINARY TEAM OF THE AREAS OF STATISTICS AND GEOMATICA, HAS DEVELOPED STATISTICAL TECHNIQUES FOR THE STUDY OF THE DISTRIBUTION OF SPATIAL PATTERNS OF POINTS USING AS BASE THE CURVES THAT FILL THE SPACE, AND THE MUTINOMIAL DISTRIBUTION AS A THEORETICAL MODEL. MEMCALIG ADVANCES AND OPENS A NEW FIELD IN THE USE OF MULTINOMIAL DISTRIBUTION TO EVALUATE THE THEMATIC QUALITY OF GI. (English) / rank | |||||||||||||||
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| Property / summary: CLIMATIC CHANGE, CROP PREDICTION, FOREST FIRES, NATIONAL DEFENSE, CIVIL PROTECTION, TERRITORIAL ORDERING, ETC., ARE FIELDS WHERE GEOGRAPHIC INFORMATION (IG) SUPPORTS DECISION-MAKING. THE QUALITY OF GI IS KEY TO MAKING DECISIONS TECHNICALLY THE BEST. THE QUALITY OF THE GI IS A KEY ELEMENT AND IS INCLUDED IN THE DATA POLICIES OF THE EUROPEAN ENVIRONMENTAL AGENCY AND THE FEDERAL EMERGENCY MANAGEMENT AGENCY. Thermal QUALITY IS CONSIDERED IN THE INTERNATIONAL NORMS ON SPACIAL DATA (ISO 19157)._x000D_ The MEMCALIG PROJECT PROPOSES THE CREATION OF A STATE METHOD, based on modelling, which allows to discover and better know the therapeutic quality of the IG. TO DATE, THE EVALUATION OF THE THEMATIC COMPONENT OF THE GI IS BEING CARRIED OUT BY MEANS OF GLOBAL INDEXES (P.E. PERCENTAGE OF AGREEMENT, KAPPA INDEX) OR INDEXES BY CLASS (P.E. USER AND PRODUCER ACCURACY) DERIVED FROM THE CONFUSION MATRIX (MC). MEMCALIG PROPOSES A NEW PERSPECTIVE THAT HAVE TO PERMIT MORE DISCRIMINATION, TANT IN CONJUNT, AS FOR CATEGORIES, AGRUPACIONS OF CATEGORIES OR CELDAS, OR SPECIFIC SITUATIONS OF INTEREST CELDS STABLETED BY USER._x000D_ MEMCALIG is based on TEORIC-EXPERIMENTAL WORKS OF STATE modelling of CONFUSION MATRICES. THE NEW FEATURES OF THE PROPOSAL ARE: 1.) To establish the modelling of MCs in the analysis of dispersed CATEGORICAL DATA under MULTINOMIAL MULTINOMIAL, 2nd) DEVELOPMENT TEST OF JUSTE BONDATE TO DETERMINATION OF MC to MATRICES OF STABLEd VALORS, 3°) DEVELOPMENT TEST OF HOMOGENEITY to determine the SEMEJANCE between MC observed, and 4o) Forming a METOOD FOR THE TREATMENT OF CELD AGRUPACATIONS AND EFFECTING IN THE JUSTE AND HOMOGENEITY BOND TEST._x000D_ OF THE OBJECTIVES shall be derived from methodological advances in validation TECHNICALS OF MODELS that will be implemented in the R Environment (HTTP://WWW.R-PROJECT.ORG) to make your identification._x000D_ CONSIDERAM that MEMCALIG has a great interest in society. ITS APPLICATION TO THE GI CONCERNING THE OBSERVATION OF THE LAND, WILL ALLOW TO DERIVE BETTER TECHNICAL DECISIONS FROM THE AVAILABLE DATA. IN ADDITION, MEMCALIG HAS VERY HIGH INTEREST FOR THE GEOMATIC SECTOR; PROOF IS THE SUPPORT RECEIVED FROM REGIONAL ORGANISATIONS (IECA, ICGC), NATIONAL (IGN) AND OTHER COUNTRIES (MEXICO, BRAZIL), AS WELL AS FROM COMPANIES (TRACASA). ALL OF THEM ARE RENOWNED ORGANISATIONS IN THE GEOMATIC SECTOR AND GENERATE THEMATIC PRODUCTS FOR WHICH MEMCALIG CAN BE VERY BENEFICIAL. These ORGANISATIONS CAN SUBMIT REAL HOUSES AND COLLABORARY IN THE MORE APPLICED ASPECTS OF THE PROJECT._x000D_ MEMCALIG SUPPORT THE CONTINUITY OF THE PROJECT IN THIS PROJECT, A MULTIDISCIPLINARY TEAM OF THE AREAS OF STATISTICS AND GEOMATICA, HAS DEVELOPED STATISTICAL TECHNIQUES FOR THE STUDY OF THE DISTRIBUTION OF SPATIAL PATTERNS OF POINTS USING AS BASE THE CURVES THAT FILL THE SPACE, AND THE MUTINOMIAL DISTRIBUTION AS A THEORETICAL MODEL. MEMCALIG ADVANCES AND OPENS A NEW FIELD IN THE USE OF MULTINOMIAL DISTRIBUTION TO EVALUATE THE THEMATIC QUALITY OF GI. (English) / qualifier | |||||||||||||||
point in time: 12 October 2021
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Revision as of 13:11, 12 October 2021
Project Q3135709 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3135709 in Spain |
Statements
27,104.0 Euro
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33,880.0 Euro
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80.0 percent
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1 January 2016
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31 December 2019
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UNIVERSIDAD DE JAEN
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37°57'20.63"N, 3°29'31.42"W
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23050
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CAMBIO CLIMATICO, PREDICCION DE COSECHAS, INCENDIOS FORESTALES, DEFENSA NACIONAL, PROTECCION CIVIL, ORDENACION TERRITORIAL, ETC., SON CAMPOS DONDE LA INFORMACION GEOGRAFICA (IG) SUSTENTA LA TOMA DE DECISIONES. LA CALIDAD DE LA IG ES CLAVE PARA QUE LAS DECISIONES SEAN TECNICAMENTE LAS MEJORES. LA CALIDAD DE LA IG ES UN ELEMENTO CLAVE POR LO QUE SE INCLUYE DENTRO DE LAS POLITICAS DE DATOS DE LA EUROPEAN ENVIRONMENTAL AGENCY Y DE LA FEDERAL EMERGENCY MANAGEMENT AGENCY. LA CALIDAD TEMATICA ESTA CONSIDERADA EN LAS NORMAS INTERNACIONALES SOBRE DATOS ESPACIALES (ISO 19157)._x000D_ EL PROYECTO MEMCALIG PROPONE LA CREACION DE UN METODO ESTADISTICO, BASADO EN LA MODELIZACION, QUE PERMITA DESCRIBIR Y CONOCER MEJOR LA CALIDAD TEMATICA DE LA IG. HASTA LA FECHA, LA EVALUACION DE LA COMPONENTE TEMATICA DE LA IG SE ESTA REALIZANDO MEDIANTE INDICES GLOBALES (P.E. PORCENTAJE DE ACUERDO, INDICE KAPPA) O INDICES POR CLASE (P.E. EXACTITUD DE USUARIO Y DE PRODUCTOR) DERIVADOS DE LA MATRIZ DE CONFUSION (MC). MEMCALIG PROPONE UNA PERSPECTIVA NOVEDOSA QUE HA DE PERMITIR MAYOR DISCRIMINACION, TANTO EN CONJUNTO, COMO POR CATEGORIAS, AGRUPACIONES DE CATEGORIAS O CELDAS, O SITUACIONES ESPECIFICAS DE CELDAS DE INTERES ESTABLECIDAS POR EL USUARIO._x000D_ MEMCALIG SE BASA EN TRABAJOS TEORICO-EXPERIMENTALES DE MODELIZACION ESTADISTICA DE MATRICES DE CONFUSION. LAS NOVEDADES DE LA PROPUESTA SON: 1º) FUNDAMENTAR LA MODELIZACION DE MC EN EL ANALISIS DE DATOS CATEGORICOS DISPERSOS BAJO MUESTREO MULTINOMIAL, 2º) DESARROLLAR TEST DE BONDAD DE AJUSTE PARA DETERMINAR LA ADHERENCIA DE MC A MATRICES DE VALORES ESTABLECIDOS, 3º) DESARROLLAR TEST DE HOMOGENEIDAD PARA DETERMINAR LA SEMEJANZA ENTRE MC OBSERVADAS, Y 4º) FORMALIZAR UN METODO PARA EL TRATAMIENTO DE AGRUPACIONES DE CELDAS Y SU EFECTO EN LOS TEST DE BONDAD DE AJUSTE Y DE HOMOGENEIDAD._x000D_ DE LOS OBJETIVOS SE DERIVARAN AVANCES METODOLOGICOS EN TECNICAS DE VALIDACION DE MODELOS QUE SE IMPLEMENTARAN EN EL ENTORNO R (HTTP://WWW.R-PROJECT.ORG) PARA FACILITAR SU DIFUSION._x000D_ CONSIDERAMOS QUE MEMCALIG TIENE UN GRAN INTERES PARA LA SOCIEDAD. SU APLICACION A LA IG RELATIVA A LA OBSERVACION DE LA TIERRA, PERMITIRAN DERIVAR MEJORES DECISIONES TECNICAS A PARTIR DE LOS DATOS DISPONIBLES. ADEMAS, MEMCALIG TIENE INTERES MUY ALTO PARA EL SECTOR GEOMATICO; PRUEBA SON LOS APOYOS RECIBIDOS DESDE ORGANISMOS REGIONALES (IECA, ICGC), NACIONALES (IGN) Y DE OTROS PAISES (MEXICO, BRASIL), ASI COMO DE EMPRESAS (TRACASA). TODAS ELLAS SON ORGANIZACIONES DE RECONOCIDO PRESTIGIO EN EL SECTOR GEOMATICO Y GENERAN PRODUCTOS TEMATICOS PARA LOS QUE MEMCALIG PUEDE RESULTAR MUY BENEFICIOSO. ESTAS ORGANIZACIONES PODRAN SUMINISTRAR CASOS REALES Y COLABORAR, POR MEDIO DE SUS EXPERTOS, EN LOS ASPECTOS MAS APLICADOS DEL PROYECTO._x000D_ MEMCALIG SUPONE LA CONTINUIDAD DEL PROYECTO ¿INVESTIGACION EN VALIDACION DE MODELOS¿ (PLAN PROPIO DE INVESTIGACION DE LA UNIVERSIDAD DE JAEN). EN DICHO PROYECTO, UN EQUIPO MULTIDISCIPLINAR DE LAS AREAS DE ESTADISTICA Y GEOMATICA, HA DESARROLLADO TECNICAS ESTADISTICAS PARA EL ESTUDIO DE LA DISTRIBUCION DE PATRONES ESPACIALES DE PUNTOS UTILIZANDO COMO BASE LAS CURVAS QUE RELLENAN EL ESPACIO, Y LA DISTRIBUCION MUTINOMIAL COMO MODELO TEORICO. MEMCALIG AVANZA Y ABRE UN NUEVO CAMPO EN EL USO DE LA DISTRIBUCION MULTINOMIAL PARA EVALUAR LA CALIDAD TEMATICA DE LA IG. (Spanish)
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CLIMATIC CHANGE, CROP PREDICTION, FOREST FIRES, NATIONAL DEFENSE, CIVIL PROTECTION, TERRITORIAL ORDERING, ETC., ARE FIELDS WHERE GEOGRAPHIC INFORMATION (IG) SUPPORTS DECISION-MAKING. THE QUALITY OF GI IS KEY TO MAKING DECISIONS TECHNICALLY THE BEST. THE QUALITY OF THE GI IS A KEY ELEMENT AND IS INCLUDED IN THE DATA POLICIES OF THE EUROPEAN ENVIRONMENTAL AGENCY AND THE FEDERAL EMERGENCY MANAGEMENT AGENCY. Thermal QUALITY IS CONSIDERED IN THE INTERNATIONAL NORMS ON SPACIAL DATA (ISO 19157)._x000D_ The MEMCALIG PROJECT PROPOSES THE CREATION OF A STATE METHOD, based on modelling, which allows to discover and better know the therapeutic quality of the IG. TO DATE, THE EVALUATION OF THE THEMATIC COMPONENT OF THE GI IS BEING CARRIED OUT BY MEANS OF GLOBAL INDEXES (P.E. PERCENTAGE OF AGREEMENT, KAPPA INDEX) OR INDEXES BY CLASS (P.E. USER AND PRODUCER ACCURACY) DERIVED FROM THE CONFUSION MATRIX (MC). MEMCALIG PROPOSES A NEW PERSPECTIVE THAT HAVE TO PERMIT MORE DISCRIMINATION, TANT IN CONJUNT, AS FOR CATEGORIES, AGRUPACIONS OF CATEGORIES OR CELDAS, OR SPECIFIC SITUATIONS OF INTEREST CELDS STABLETED BY USER._x000D_ MEMCALIG is based on TEORIC-EXPERIMENTAL WORKS OF STATE modelling of CONFUSION MATRICES. THE NEW FEATURES OF THE PROPOSAL ARE: 1.) To establish the modelling of MCs in the analysis of dispersed CATEGORICAL DATA under MULTINOMIAL MULTINOMIAL, 2nd) DEVELOPMENT TEST OF JUSTE BONDATE TO DETERMINATION OF MC to MATRICES OF STABLEd VALORS, 3°) DEVELOPMENT TEST OF HOMOGENEITY to determine the SEMEJANCE between MC observed, and 4o) Forming a METOOD FOR THE TREATMENT OF CELD AGRUPACATIONS AND EFFECTING IN THE JUSTE AND HOMOGENEITY BOND TEST._x000D_ OF THE OBJECTIVES shall be derived from methodological advances in validation TECHNICALS OF MODELS that will be implemented in the R Environment (HTTP://WWW.R-PROJECT.ORG) to make your identification._x000D_ CONSIDERAM that MEMCALIG has a great interest in society. ITS APPLICATION TO THE GI CONCERNING THE OBSERVATION OF THE LAND, WILL ALLOW TO DERIVE BETTER TECHNICAL DECISIONS FROM THE AVAILABLE DATA. IN ADDITION, MEMCALIG HAS VERY HIGH INTEREST FOR THE GEOMATIC SECTOR; PROOF IS THE SUPPORT RECEIVED FROM REGIONAL ORGANISATIONS (IECA, ICGC), NATIONAL (IGN) AND OTHER COUNTRIES (MEXICO, BRAZIL), AS WELL AS FROM COMPANIES (TRACASA). ALL OF THEM ARE RENOWNED ORGANISATIONS IN THE GEOMATIC SECTOR AND GENERATE THEMATIC PRODUCTS FOR WHICH MEMCALIG CAN BE VERY BENEFICIAL. These ORGANISATIONS CAN SUBMIT REAL HOUSES AND COLLABORARY IN THE MORE APPLICED ASPECTS OF THE PROJECT._x000D_ MEMCALIG SUPPORT THE CONTINUITY OF THE PROJECT IN THIS PROJECT, A MULTIDISCIPLINARY TEAM OF THE AREAS OF STATISTICS AND GEOMATICA, HAS DEVELOPED STATISTICAL TECHNIQUES FOR THE STUDY OF THE DISTRIBUTION OF SPATIAL PATTERNS OF POINTS USING AS BASE THE CURVES THAT FILL THE SPACE, AND THE MUTINOMIAL DISTRIBUTION AS A THEORETICAL MODEL. MEMCALIG ADVANCES AND OPENS A NEW FIELD IN THE USE OF MULTINOMIAL DISTRIBUTION TO EVALUATE THE THEMATIC QUALITY OF GI. (English)
12 October 2021
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Jaén
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Identifiers
CTM2015-68276-R
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