SoilPro12leVisualization sketchesdepictinghorizonsequencedepthcolor soilcolorstranslatedfromMunsellsystemtoRGBtriplets orderingofsketchesalongenvironmentalgradients SoilPro12leAggregation ID: 936323
Download Pdf The PPT/PDF document "TheAlgorithmsforQuantitativePedologyaqpP..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
TheAlgorithmsforQuantitativePedology(aqp)Package SoilProleVisualization sketchesdepictinghorizonsequence,depth,color,... soilcolorstranslatedfromMunsellsystemtoRGBtriplets
orderingofsketchesalongenvironmentalgradients SoilProleAggregation summaryofsoilpropertyormorphologyalongregulardepthslices transcendstypicalproblemswithsoilprolecolle
ctions:!highvariabilityinhorizondescriptionstyleandhorizontypes/depths SoilProleClassication similartoabove:distancemetriccomputedalongregulardepthslices canassistwith
similar/dissimilarevaluation Soil-SpecicClasses/Methods datastructures&vocabularyforworkingwithcollectionsofsoilproles SoilProleSketches (Digital)SoilProleSk
etches:PedonKind library(soilDB)#loadpackage ffetchNASIS()#loadpedonsfromNASIS new.orderorder(f$pedon kind)#neworderingvector plot(f,name='hzname',plot.order=new.order)#
plotpedonsassketchs legend(...)#makealegend(detailsommited) AggregateRepresentationofSoilProleCollections Slice-wiseaggregationofsoilproperties library(aqp) library(lattice
) #loadlabdatafromCSVle xread.csv('MLRA 18 22lab data.csv') #initSoilProleCollectionobject depths(x)pedon id~hztop+hzbot site(x)~site id+lon+lat+mlra #
slicewiseaggregationbyMLRAofn%BSatpH8.2 aslab(x,mlra~bs82) #plot xyplot( top~p.q50,groups=mlra,data=a,lower=a$p.q25,upper=a$p.q75, ylim=c(160,5),alpha=0.5,scales=lis
t(cex=1.25, y=list(tick.num=7,alternating=3),x=list(alternating=1)), panel=panel.depth function,prepanel=prepanel.depth function, ylab=list('Depth(cm)',cex=1.25), xlab=list('Bas
eSaturationatpH8.2',cex=1.25),par.settings=list( superpose.line=list(col=c('black','blue'),lty=c(1,2),lwd=2)), auto.key=list(columns=2,title='MLRA',points=FALSE,lines=TRUE) ) Ag
gregateRepresentationofSoilProleCollections #loadpackage library(soilDB) #loadMVOsoilsfromlocalNASIS(querynationalrst) ffetchNASIS() #slicewiseaggregationofsel
ectproperties aslab(f,sampled as~clay+total frags pct+pheld) #plottingdetailsommitted... AggregateRepresentationofSoilProleCollections AggregateRepresentationofSoi
lProleCollections Quantitative(pair-wise)ComparisonofSoils (a) (b) (c)\isamorelikeb,ascomparedtoc?"ideallytranscendinghorizonationanddescriptionstyle Pair-wisedissimilarity
alongdepth-slices(Mooreetal,1972) soilpropertiesatslice15clayvcsln_tccecA16.421.5-1.53.88.1210.617.6-1.55.94.938.810.5-0.27.56.049.112.6-0.85.65.956.816.2-0.55.08.2617.911.0-0.1
9.45.277.011.7-0.44.76.386.317.0-0.14.77.9 pair-wisedissimilarityatslice151234567242368464512919530464030696593045687484520162248832503937116424 Resultscansupportsimmilar/dissim
ilarevaluation ComponentRelationshipGraphs:CA630 ComponentRelationshipGraphs:MT637 ComponentRelationshipGraphs:SanJoaquinSeries PossibleApplicationandRelevancetoSDJR Visualizati
on:rapidevaluationofcomplexdata outliers/mistakestendtostick-out(prolesketches/aggregatedata) dendrogramsdepictingsimilarity(similar/dissimilareval.) graph-networksdepictin
gconnectivity(associated/relatedsoils) Aggregation:data-drivensynthesisofa\representativesoilproles" depth-slicescantranscendvariationsindescriptionstyle(withexpertreview!)
universallymeaningfulLow{RV{Highvalues:5th{50th{95thpctiles OSDs/DMUsviadirectaggregation:morphology+properties(datapermitting!) Slice-WiseSimilarity:property-driveneval.of\sim
ilarity" rapidIDofmistakes/outliers/missingdata(!) similar/dissimilardiscussionformapunitdesign/re-correlation/joins (semi-)automatedre-allocationofprolestonewrevisedlegend