{"id":519,"date":"2015-01-28T17:00:40","date_gmt":"2015-01-28T17:00:40","guid":{"rendered":"http:\/\/www.agron.iastate.edu\/glsi\/?p=519"},"modified":"2019-06-13T17:50:55","modified_gmt":"2019-06-13T17:50:55","slug":"error-propagation-toolbox","status":"publish","type":"post","link":"https:\/\/www.agron.iastate.edu\/glsi\/analysis-tools\/error-propagation-toolbox\/","title":{"rendered":"Error Propagation Toolbox"},"content":{"rendered":"
\"\"
New estimated errors are calculated for each raster cell based on the combination of the two input rasters.<\/figcaption><\/figure>\n

Quantifying uncertainty can be a very useful and often important aspect of evaluating results of calculations, particularly in modelling. The same applies for spatial layer mashups where the grids provide the input variables for equations that are calculated spatially (i.e. raster calculator). This toolbox for ArcGIS uses standard error propagation equations to simultaneously calculate the result of basic math expressions along with the estimated error of that result. The measured or estimated errors for the input variables are required. Error covariances can also be included in the calculation of error propagation, but are not required.<\/p>\n

Download<\/a><\/code><\/h4>\n","protected":false},"excerpt":{"rendered":"

Quantifying uncertainty can be a very useful and often important aspect of evaluating results of calculations, particularly in modelling. The same applies for spatial layer mashups where the grids provide the input variables for equations that are calculated spatially (i.e. raster calculator). This toolbox for ArcGIS uses standard error propagation equations to simultaneously calculate the […]<\/p>\n","protected":false},"author":3216,"featured_media":719,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"ngg_post_thumbnail":0,"footnotes":""},"categories":[2],"tags":[16,42,76,141],"class_list":["post-519","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis-tools","tag-arcgis-toolbox","tag-error-propagation","tag-modelling","tag-uncertainty"],"acf":[],"featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable_v2":"

New estimated errors are calculated for each raster cell based on the combination of the two input rasters. Quantifying uncertainty can be a very useful and often important aspect of evaluating results of calculations, particularly in modelling. The same applies for spatial layer mashups where the grids provide the input variables for equations that are calculated spatially (i.e. raster calculator). This toolbox for ArcGIS uses standard error propagation equations to simultaneously calculate the result of basic math expressions along with the estimated error of that result. The measured or estimated errors for the input variables are required. Error covariances can…<\/p>\n","category_list_v2":"Analysis Tools<\/a>","author_info_v2":{"name":"Bradley Miller","url":"https:\/\/www.agron.iastate.edu\/glsi\/author\/millerba\/"},"comments_num_v2":"0 comments","yoast_head":"\nError Propagation Toolbox - Geospatial Laboratory for Soil Informatics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.agron.iastate.edu\/glsi\/analysis-tools\/error-propagation-toolbox\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Error Propagation Toolbox - Geospatial Laboratory for Soil Informatics\" \/>\n<meta property=\"og:description\" content=\"Quantifying uncertainty can be a very useful and often important aspect of evaluating results of calculations, particularly in modelling. 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