result.main | R Documentation |
Main function for result evaluation.
result.main(mask.grid, result.grid, plant="beech", model="pim", year=1954, picPath=getwd(), picName="beech-budburst", createFiles=TRUE, rsquarePath=getwd(), rsquareFile="rsquare.RData", rsquare.type="cod", silent=FALSE, withOutliers=FALSE)
mask.grid |
A grid with spatial information related to the resulting grid of modelling. |
result.grid |
The resulting grid of modelling. Can be obtained by using |
plant |
The plant name for which the values of 'result.grid' are modelled. |
model |
A character value determining which model was used to create the results (either ‘pim’ or ‘tsm’). |
year |
The processed year. |
picPath |
The path where the created png-files should be stored. |
picName |
The filename of the created png-files. |
createFiles |
A boolean flag determining wether the results should be stored in files or not. |
rsquarePath |
The path where the RData-file with the rsquare-dataset should be stored. |
rsquareFile |
The filename of the RData-file with the rsquare-dataset. |
rsquare.type |
The value of type (either ‘cod’ or ‘pearson’) determines whether the coefficient of determination or the squared pearson correlation coefficient is used as rsquare. |
silent |
A boolean value determining wether the function should generate output messages or not. |
withOutliers |
A boolean value determining wether outliers should be included in extraction and transformation or not. |
Main function for result evaluation. Extracts essential values from resulting grid, interpolates and masks values, creates histogramms, scatterplot and maps and calculates r-square.
Daniel Doktor, Maximilian Lange
result.extract.main
,result.extract.interpolate
,result.pic.histogramm
,result.pic.maps
,result.pic.scatterplot
,result.rsquare
,pim.solve
,tsm.solve
## load preprocessed data data(dataFinal) ## load spatial information data(relatedGrid) ## set or load params params <- c(0, 0.058326, 0.109494, 0.039178, -10.34, -0.89, 18.11,-10.03, 28.61, 44.49) ## apply model result <- pim.solve(params, dataFinal, model.no=11, silent=FALSE, out2File=FALSE) ## evaluate resuts result.main(mask.grid=relatedGrid, result.grid=result, plant="beech", model="pim", year="1952-2009", picPath=getwd(), picName="beech-budburst", createFiles=FALSE, rsquarePath=getwd(), rsquareFile="rsquare.RData", rsquare.type="cod", silent=FALSE, withOutliers=FALSE)
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