FRANCISCO JAVIER
ARIZA LÓPEZ
CATEDRATICO DE UNIVERSIDAD
FRANCISCO JAVIER ARIZA LÓPEZ-rekin lankidetzan egindako argitalpenak (50)
2022
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Finite Mixture Models in the Evaluation of Positional Accuracy of Geospatial Data
Remote Sensing, Vol. 14, Núm. 9
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Thematic quality assessment of land surface geospatial data based on confusion matrices: A matrix set for research on measures and procedures
Geoscience Data Journal
2021
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A new approach to the quality control of slope and aspect classes derived from digital elevation models
Remote Sensing, Vol. 13, Núm. 11
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Database of confusion matrices (Microsoft Access)
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Database of confusion matrices (Microsoft Access)
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Database of confusion matrices (SQLite)
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Database of confusion matrices (SQLite)
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2020
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Propuesta de una guía para la evaluación de la exactitud posicional de datos espaciales
Revista Cartográfica, Núm. 100, pp. 61-79
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Statistical methods for thematic-accuracy quality control based on an accurate reference sample
Remote Sensing, Vol. 12, Núm. 5
2019
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A new method for positional accuracy control for non-normal errors applied to airborne laser scanner data
Applied Sciences (Switzerland), Vol. 9, Núm. 18
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Approximating the null distribution of a class of statistics for testing independence
Journal of Computational and Applied Mathematics, Vol. 354, pp. 131-143
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CM_database.accdb
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Database of confusion matrices (Microsoft Access)
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Database of confusion matrices (Microsoft Access)
figshare
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Database of confusion matrices (Microsoft Access)
figshare
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Database of confusion matrices (SQLite)
figshare
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Excel spreadsheet of confusion matrices
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Excel spreadsheet of confusion matrices
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ODS spreadsheet of confusion matrices
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Quality control of “as built” BIM datasets using the ISO 19157 framework and a multiple hypothesis testing method based on proportions
ISPRS International Journal of Geo-Information, Vol. 8, Núm. 12