This study uses several measures derived from the error matrix for comparing two thematic maps generated with the same sample set. The reference map was generated with all the sample elements and the map set as the model was generated without the two points detected as influential by the analysis of local influence diagnostics. The data analyzed refer to the wheat productivity in an agricultural area of 13.55 ha considering a sampling grid of 50 x 50 m comprising 50 georeferenced sample elements. The comparison measures derived from the error matrix indicated that despite some similarity on the maps, they are different. The difference between the estimated production by the reference map and the actual production was of 350 kilograms. The s...
This paper analyzes quantification error versus location error in a comparison between two cellular ...
Geosimulation is a form of microsimulation that seeks to understand geographical patterns and dynami...
Evaluating soil spatial variability through sampling is an important step in precision farming proce...
This study uses several measures derived from the error matrix for comparing two thematic maps gener...
This study uses several measures derived from the error matrix for comparing two thematic maps gener...
This study uses several measures derived from the error matrix for comparing two thematic maps gener...
Sample means and variances, obtained through computer simulation, were compared with the correspondi...
Com o aumento da produÃÃo agrÃcola mundial, o processo de produÃÃo agrÃcola tornou-se alvo do estudo...
This paper describes a method to assess uncertainty in the measurement of change among categories of...
Modeling of spatial dependence structure, concerning geoestatistics approach, is an indispensable to...
The confusion matrix is the standard way for reporting the accuracy of land cover and other informat...
This paper investigates how to determine the values (elements) of spatial weights in a spatial matri...
Model assessment is one of the most important aspects of statistical analysis. In geographical analy...
A crucial task in the calibration and validation of geosimulation models is to measure the agreement...
This paper presents methods to test whether map error can explain the observed differences between t...
This paper analyzes quantification error versus location error in a comparison between two cellular ...
Geosimulation is a form of microsimulation that seeks to understand geographical patterns and dynami...
Evaluating soil spatial variability through sampling is an important step in precision farming proce...
This study uses several measures derived from the error matrix for comparing two thematic maps gener...
This study uses several measures derived from the error matrix for comparing two thematic maps gener...
This study uses several measures derived from the error matrix for comparing two thematic maps gener...
Sample means and variances, obtained through computer simulation, were compared with the correspondi...
Com o aumento da produÃÃo agrÃcola mundial, o processo de produÃÃo agrÃcola tornou-se alvo do estudo...
This paper describes a method to assess uncertainty in the measurement of change among categories of...
Modeling of spatial dependence structure, concerning geoestatistics approach, is an indispensable to...
The confusion matrix is the standard way for reporting the accuracy of land cover and other informat...
This paper investigates how to determine the values (elements) of spatial weights in a spatial matri...
Model assessment is one of the most important aspects of statistical analysis. In geographical analy...
A crucial task in the calibration and validation of geosimulation models is to measure the agreement...
This paper presents methods to test whether map error can explain the observed differences between t...
This paper analyzes quantification error versus location error in a comparison between two cellular ...
Geosimulation is a form of microsimulation that seeks to understand geographical patterns and dynami...
Evaluating soil spatial variability through sampling is an important step in precision farming proce...