Generates small area estimates by domain and/or tree domain (and estimation unit).
Usage
modSAarea(
SApopdatlst = NULL,
prednames = NULL,
SApackage = "JoSAE",
SAmethod = "area",
largebnd.unique = NULL,
landarea = "FOREST",
pcfilter = NULL,
rowvar = NULL,
modelselect = FALSE,
prior = function(x) 1/(sqrt(x) * (1 + x)),
na.fill = "NONE",
savedata = FALSE,
savesteps = FALSE,
multest = TRUE,
addSAdomsdf = TRUE,
SAdomvars = NULL,
returntitle = FALSE,
table_opts = NULL,
title_opts = NULL,
savedata_opts = savedata_options(),
multest_opts = multest_options(),
save4testing = FALSE,
...
)Arguments
- SApopdatlst
List. List of population data objects returned from modSApop().
- prednames
String vector. Name(s) of predictor variables to use in model.
- SApackage
String. Small area package to use ('JoSAE', 'sae', 'hbsae')
- SAmethod
String. Small area method to use ('unit', 'area')
- largebnd.unique
String. Name of the large boundary unique identifer to define plots within a model extent. If NULL, all plots are used for model extent.
- landarea
String. The sample area filter for estimates ('ALL', 'FOREST', 'TIMBERLAND'). If landarea=FOREST, filtered to COND_STATUS_CD = 1; If landarea=TIMBERLAND, filtered to SITECLCD in(1:6) and RESERVCD = 0.
- pcfilter
String. A filter for plot or cond attributes (including pltassgn). Must be R logical syntax.
- rowvar
String. Name of the row domain variable in cond or tree. If only one domain, rowvar = domain variable. If more than one domain, include colvar. If no domain, rowvar = NULL.
- modelselect
Logical. If TRUE, selects useful predictors using mase:ElasticNet.
- prior
Function. A prior function to use for hbsae models.
- na.fill
String. An estimate to fill in for NA values (i.e., when model is unstable or no predictors are selected). Choose from the following list that does not include SApackage used ('NONE', 'DIR', 'JU.GREG', 'JU.EBLUP','JFH','hbsaeU','hbsaeA'). DIR is suggested value to fill NA values.
- savedata
Logical. If TRUE, saves table(s) to outfolder.
- savesteps
Logical. Saves graphs of predictors and response with labels whether selected or not for both area- and unit-level models.
- multest
Logical. If TRUE, returns a data frame of SA estimates using both unit-level and area-level estimates.
- addSAdomsdf
Logical. If TRUE, appends SAdomdf to unit.multest table for output.
- SAdomvars
String vector. List of attributes from SAdoms to include in multest output.
- returntitle
Logical. If TRUE, returns title(s) of the estimation table(s).
- table_opts
List. See help(table_options()) for a list of options.
- title_opts
List. See help(title_options()) for a list of options.
- savedata_opts
List. See help(savedata_options()) for a list of options. Only used when savedata = TRUE.
- multest_opts
List. See help(multest_options()) for a list of options. Only used when multest = TRUE.
- save4testing
Logical. If TRUE, saves intermediate steps as R objects to outfolder for testing (domdat, dunitlut).
- ...
Parameters for modSApop if SApopdat is NULL.
Value
- est
Data frame. Tree estimates and percent sampling error by domain. Estimates are based on the SApackage and SAmethod parameters defined.
- titlelst
List. List of titles used for table output.
- raw
List of raw data. If rawdata=TRUE, a list including raw data components used for calculating estimate.
- dunit.multest
Data frame. Table comparing different estimation strategies for SAE.
Raw data
- domdat
Data frame. Domain-level data used for estimation.
- dunit.totest
String. Table of estimates, including more details.
Details
If variables are NULL, then it will prompt user to input variables.
Necessary variables:
| Data | Variable | Description | |
| tree | tuniqueid | Unique identifier for each plot, to link to pltstrat (e.g., PLT_CN). | |
| CONDID | Unique identifier of each condition on plot, to link to cond. Set CONDID=1, if only 1 condition per plot. | ||
| TPA_UNADJ | Number of trees per acre each sample tree represents (ex. DESIGNCD=1: TPA_UNADJ=6.018046 for trees on subplot; 74.965282 for trees on microplot). | ||
| cond | cuniqueid | Unique identifier for each plot, to link to pltstrat (ex. PLT_CN). | |
| CONDID | Unique identifier of each condition on plot. Set CONDID=1, if only 1 condition per plot. | ||
| CONDPROP_UNADJ | Unadjusted proportion of condition on each plot. Set CONDPROP_UNADJ=1, if only 1 condition per plot. | ||
| COND_STATUS_CD | Status of each forested condition on plot (i.e. accessible forest, nonforest, water, etc.) | ||
| NF_COND_STATUS_CD | If ACI=TRUE. Status of each nonforest condition on plot (i.e. accessible nonforest, nonsampled nonforest) | ||
| SITECLCD | If landarea=TIMBERLAND. Measure of site productivity. | ||
| RESERVCD | If landarea=TIMBERLAND. Reserved status. | ||
| SUBPROP_UNADJ | Unadjusted proportion of subplot conditions on each plot. Set SUBPROP_UNADJ=1, if only 1 condition per subplot. | ||
| MICRPROP_UNADJ | If microplot tree attributes. Unadjusted proportion of microplot conditions on each plot. Set MICRPROP_UNADJ=1, if only 1 condition per microplot. | ||
| MACRPROP_UNADJ | If macroplot tree attributes. Unadjusted proportion of macroplot conditions on each plot. Set MACRPROP_UNADJ=1, if only 1 condition per macroplot. | ||
| pltassign | puniqueid | Unique identifier for each plot, to link to cond (ex. CN). | |
| STATECD | Identifies state each plot is located in. | ||
| INVYR | Identifies inventory year of each plot. | ||
| PLOT_STATUS_CD | Status of each plot (i.e. sampled, nonsampled). If not included, all plots are assumed as sampled. |
Reference names are available for the following variables:
ADFORCD,
AGENTCD, CCLCD, DECAYCD, DSTRBCD, KINDCD, OWNCD, OWNGRPCD, FORTYPCD,
FLDTYPCD, FORTYPCDCALC, TYPGRPCD, FORINDCD, RESERVCD, LANDCLCD, STDSZCD,
FLDSZCD, PHYSCLCD, MIST_CL_CD, PLOT_STATUS_CD, STATECD, TREECLCD, TRTCD,
SPCD, SPGRPCD
Note
ADJUSTMENT FACTOR:
The adjustment factor is necessary to account for
nonsampled conditions. For model-based estimation, we calculate adjustment
factors by plot.
It is calculated by dividing 1 / summed condition proportions by plot. An adjustment factor is determined for each tree based on the size of the plot it was measured on. This is identified using TPA_UNADJ as follows:
| PLOT SIZE | TPA_UNADJ | |
| SUBPLOT | 6.018046 | |
| MICROPLOT | 74.965282 | |
| MACROPLOT | 0.999188 |
If ACI=FALSE, only nonsampled forest conditions are accounted for in the
adjustment factor.
If ACI=TRUE, the nonsampled nonforest conditions are
removed as well and accounted for in adjustment factor. This is if you are
interested in estimates for all lands or nonforest lands in the
All-Condition-Inventory.
References
Breidenbach, J. 2018. JoSAE: Unit-Level and Area-Level Small Area Estimation. R package version 0.3.0. https://CRAN.R-project.org/package=JoSAE.
Molina I, Marhuenda Y. 2015. sae: An R Package for Small Area Estimation. The R Journal 7(1), 81-98. https://journal.r-project.org/archive/2015/RJ-2015-007/RJ-2015-007.
Examples
# \donttest{
# Set up population dataset (see ?modSApop() for more information)
SApopdat <- modSApop(popTabs = list(tree = FIESTA::WYtree,
cond = FIESTA::WYcond),
pltassgn = FIESTA::WYpltassgn,
pltassgnid = "CN",
dunitarea = FIESTA::WYunitarea,
dunitvar = "ESTN_UNIT",
dunitzonal = FIESTA::WYunitzonal,
prednames = c("dem", "tcc", "tpi", "tnt"),
predfac = "tnt")
#> savedata=FALSE with savedata parameters... no data are saved
#> variables are missing from dataset: STATECD, UNITCD, COUNTYCD, PLOT, PLOT_STATUS_CD, PLOT_NONSAMPLE_REASN_CD, INTENSITY, SUBCYCLE, MACRO_BREAKPOINT_DIA
#> SURVEY table does not exist in database... assuming annual inventory plots
#> INVYR not in input data... no invyrs returned...
#> SUBCYCLE not in data... assuming all SUBCYCLE <> 99
#> removing nonsampled forest plots...
#> returning data needed for estimation...
#> there are 14 nonsampled conditions
# Fit an area level Fay-Herriot EBLUP with `sae`, while using Elastic Net
# variable selection
modSAarea(SApopdatlst = SApopdat,
SApackage = "JoSAE",
SAmethod = "area",
modelselect = TRUE)
#> outfolder is NULL, defaulting to working directory
#> generating estimates for... SApopdat
#> getting estimates for ESTIMATED_VALUE...
#> using the following predictors... dem, tcc, tpi, tnt2
#> no predictors were selected for area-level models
#> there was an error in unit-level hbsae model
#> getting output...
#> $est
#> Key: <DOMAIN>
#> DOMAIN Estimate Percent Sampling Error
#> <char> <num> <num>
#> 1: 1 NA NA
#> 2: 11 NA NA
#> 3: 13 NA NA
#> 4: 15 NA NA
#> 5: 17 NA NA
#> 6: 19 NA NA
#> 7: 21 NA NA
#> 8: 23 NA NA
#> 9: 25 NA NA
#> 10: 27 NA NA
#> 11: 29 NA NA
#> 12: 3 NA NA
#> 13: 31 NA NA
#> 14: 33 NA NA
#> 15: 35 NA NA
#> 16: 37 NA NA
#> 17: 39 NA NA
#> 18: 41 NA NA
#> 19: 43 NA NA
#> 20: 45 NA NA
#> 21: 5 NA NA
#> 22: 7 NA NA
#> 23: 9 NA NA
#> DOMAIN Estimate Percent Sampling Error
#>
#> $raw
#> $raw$dunit_totest
#> DOMAIN nhat nhat.se NBRPLT.gt0 estimator AREAUSED nhat.var est est.var
#> 1 1 NA NA 24 JFH 2757613 NA NA NA
#> 2 11 NA NA 26 JFH 1837124 NA NA NA
#> 3 13 NA NA 53 JFH 5930088 NA NA NA
#> 4 15 NA NA 2 JFH 1428579 NA NA NA
#> 5 17 NA NA 8 JFH 1283969 NA NA NA
#> 6 19 NA NA 22 JFH 2671802 NA NA NA
#> 7 21 NA NA 2 JFH 1720074 NA NA NA
#> 8 23 NA NA 38 JFH 2616954 NA NA NA
#> 9 25 NA NA 7 JFH 3440445 NA NA NA
#> 10 27 NA NA 2 JFH 1681849 NA NA NA
#> 11 29 NA NA 99 JFH 4459826 NA NA NA
#> 12 3 NA NA 12 JFH 2021729 NA NA NA
#> 13 31 NA NA 8 JFH 1350969 NA NA NA
#> 14 33 NA NA 20 JFH 1617318 NA NA NA
#> 15 35 NA NA 44 JFH 3158807 NA NA NA
#> 16 37 NA NA 9 JFH 6714319 NA NA NA
#> 17 39 NA NA 94 JFH 2701941 NA NA NA
#> 18 41 NA NA 6 JFH 1336034 NA NA NA
#> 19 43 NA NA 4 JFH 1435352 NA NA NA
#> 20 45 NA NA 8 JFH 1536038 NA NA NA
#> 21 5 NA NA 14 JFH 3072988 NA NA NA
#> 22 7 NA NA 36 JFH 5096959 NA NA NA
#> 23 9 NA NA 18 JFH 2729653 NA NA NA
#> est.se est.cv pse CI99left CI99right CI95left CI95right CI68left CI68right
#> 1 NA NA NA 0 NA 0 NA 0 NA
#> 2 NA NA NA 0 NA 0 NA 0 NA
#> 3 NA NA NA 0 NA 0 NA 0 NA
#> 4 NA NA NA 0 NA 0 NA 0 NA
#> 5 NA NA NA 0 NA 0 NA 0 NA
#> 6 NA NA NA 0 NA 0 NA 0 NA
#> 7 NA NA NA 0 NA 0 NA 0 NA
#> 8 NA NA NA 0 NA 0 NA 0 NA
#> 9 NA NA NA 0 NA 0 NA 0 NA
#> 10 NA NA NA 0 NA 0 NA 0 NA
#> 11 NA NA NA 0 NA 0 NA 0 NA
#> 12 NA NA NA 0 NA 0 NA 0 NA
#> 13 NA NA NA 0 NA 0 NA 0 NA
#> 14 NA NA NA 0 NA 0 NA 0 NA
#> 15 NA NA NA 0 NA 0 NA 0 NA
#> 16 NA NA NA 0 NA 0 NA 0 NA
#> 17 NA NA NA 0 NA 0 NA 0 NA
#> 18 NA NA NA 0 NA 0 NA 0 NA
#> 19 NA NA NA 0 NA 0 NA 0 NA
#> 20 NA NA NA 0 NA 0 NA 0 NA
#> 21 NA NA NA 0 NA 0 NA 0 NA
#> 22 NA NA NA 0 NA 0 NA 0 NA
#> 23 NA NA NA 0 NA 0 NA 0 NA
#>
#> $raw$domdat
#> PLT_CN CONDID TOTAL ESTIMATED_VALUE
#> 1 40404729010690 1 1 1.0000000
#> 2 40404730010690 1 1 1.0000000
#> 3 40404737010690 2 1 0.2500000
#> 4 40404738010690 1 1 1.0000000
#> 5 40404742010690 1 1 1.0000000
#> 6 40404743010690 1 1 1.0000000
#> 7 40404746010690 2 1 0.6237773
#> 8 40404755010690 1 1 1.0000000
#> 9 40404758010690 1 1 1.0000000
#> 10 40404759010690 1 1 1.0000000
#> 11 40404762010690 1 1 1.0000000
#> 12 40404788010690 1 1 1.0000000
#> 13 40404821010690 1 1 1.0000000
#> 14 40404822010690 1 1 1.0000000
#> 15 40404827010690 1 1 1.0000000
#> 16 40404831010690 1 1 1.0000000
#> 17 40404837010690 1 1 1.0000000
#> 18 40404838010690 1 1 1.0000000
#> 19 40404843010690 1 1 1.0000000
#> 20 40404844010690 1 1 1.0000000
#> 21 40404845010690 1 1 1.0000000
#> 22 40404851010690 1 1 0.7675430
#> 23 40404864010690 1 1 1.0000000
#> 24 40404866010690 1 1 1.0000000
#> 25 40404876010690 1 1 0.7500000
#> 26 40404876010690 2 1 0.2500000
#> 27 40404879010690 1 1 1.0000000
#> 28 40404893010690 1 1 1.0000000
#> 29 40404894010690 1 1 1.0000000
#> 30 40404920010690 1 1 0.7500000
#> 31 40404925010690 1 1 1.0000000
#> 32 40404930010690 1 1 1.0000000
#> 33 40404937010690 1 1 0.5000000
#> 34 40404939010690 1 1 0.7500000
#> 35 40404940010690 1 1 1.0000000
#> 36 40404943010690 2 1 0.5000000
#> 37 40404955010690 1 1 1.0000000
#> 38 40404967010690 2 1 0.2500000
#> 39 40404970010690 1 1 0.5000000
#> 40 40404971010690 1 1 1.0000000
#> 41 40404973010690 1 1 1.0000000
#> 42 40404977010690 1 1 1.0000000
#> 43 40404981010690 1 1 1.0000000
#> 44 40404983010690 1 1 1.0000000
#> 45 40404992010690 1 1 0.5000000
#> 46 40404998010690 2 1 0.5000000
#> 47 40405017010690 1 1 1.0000000
#> 48 40405019010690 1 1 1.0000000
#> 49 40405070010690 1 1 1.0000000
#> 50 40405093010690 2 1 0.2500000
#> 51 40405096010690 2 1 0.2500000
#> 52 40405135010690 1 1 1.0000000
#> 53 40405136010690 1 1 1.0000000
#> 54 40405148010690 1 1 1.0000000
#> 55 40405163010690 1 1 1.0000000
#> 56 40405165010690 1 1 0.8943480
#> 57 40405166010690 2 1 0.5934810
#> 58 40405171010690 1 1 1.0000000
#> 59 40405267010690 1 1 1.0000000
#> 60 40405275010690 1 1 1.0000000
#> 61 40405277010690 1 1 1.0000000
#> 62 40405278010690 1 1 1.0000000
#> 63 40405283010690 1 1 1.0000000
#> 64 40405284010690 1 1 1.0000000
#> 65 40405289010690 1 1 1.0000000
#> 66 40405290010690 1 1 1.0000000
#> 67 40405300010690 1 1 0.7500000
#> 68 40405307010690 1 1 0.8247450
#> 69 40405307010690 2 1 0.1752550
#> 70 40405309010690 1 1 1.0000000
#> 71 40405310010690 1 1 0.7221310
#> 72 40405310010690 2 1 0.0558790
#> 73 40405310010690 3 1 0.2219900
#> 74 40405314010690 1 1 1.0000000
#> 75 40405320010690 1 1 1.0000000
#> 76 40405323010690 1 1 0.5000000
#> 77 40405323010690 2 1 0.5000000
#> 78 40405328010690 1 1 1.0000000
#> 79 40405330010690 1 1 1.0000000
#> 80 40405338010690 1 1 1.0000000
#> 81 40405339010690 1 1 1.0000000
#> 82 40405343010690 1 1 1.0000000
#> 83 40405344010690 2 1 0.2500000
#> 84 40405345010690 1 1 1.0000000
#> 85 40405346010690 1 1 1.0000000
#> 86 40405347010690 1 1 0.7500000
#> 87 40405347010690 2 1 0.2500000
#> 88 40405366010690 2 1 0.1152900
#> 89 40405372010690 1 1 0.6283700
#> 90 40405373010690 1 1 0.9446900
#> 91 40405376010690 1 1 1.0000000
#> 92 40405378010690 1 1 1.0000000
#> 93 40405379010690 1 1 1.0000000
#> 94 40405384010690 1 1 1.0000000
#> 95 40405403010690 1 1 0.7500000
#> 96 40405453010690 2 1 0.5000000
#> 97 40405459010690 1 1 1.0000000
#> 98 40405463010690 1 1 1.0000000
#> 99 40405480010690 2 1 0.2500000
#> 100 40405485010690 1 1 1.0000000
#> 101 40405486010690 1 1 1.0000000
#> 102 40405490010690 1 1 1.0000000
#> 103 40405492010690 1 1 1.0000000
#> 104 40405495010690 1 1 1.0000000
#> 105 40405497010690 1 1 0.9824570
#> 106 40405500010690 1 1 1.0000000
#> 107 40405501010690 1 1 1.0000000
#> 108 40405502010690 1 1 1.0000000
#> 109 40405515010690 1 1 1.0000000
#> 110 40405516010690 1 1 1.0000000
#> 111 40405526010690 1 1 1.0000000
#> 112 40405536010690 1 1 1.0000000
#> 113 40405540010690 2 1 0.2500000
#> 114 40405541010690 1 1 1.0000000
#> 115 40405542010690 1 1 1.0000000
#> 116 40405549010690 1 1 0.7500000
#> 117 40405550010690 1 1 1.0000000
#> 118 40405554010690 1 1 1.0000000
#> 119 40405556010690 1 1 1.0000000
#> 120 40405559010690 1 1 1.0000000
#> 121 40405561010690 1 1 0.7500000
#> 122 40405564010690 1 1 1.0000000
#> 123 40405569010690 1 1 1.0000000
#> 124 40405571010690 1 1 1.0000000
#> 125 40405573010690 1 1 1.0000000
#> 126 40405574010690 1 1 1.0000000
#> 127 40405578010690 1 1 1.0000000
#> 128 40405580010690 1 1 1.0000000
#> 129 40405583010690 1 1 1.0000000
#> 130 40405585010690 1 1 1.0000000
#> 131 40405592010690 1 1 0.7500000
#> 132 40405593010690 2 1 0.5000000
#> 133 40405595010690 1 1 1.0000000
#> 134 40405596010690 1 1 0.7500000
#> 135 40405596010690 2 1 0.2500000
#> 136 40405597010690 1 1 1.0000000
#> 137 40405600010690 1 1 1.0000000
#> 138 40405614010690 1 1 0.7500000
#> 139 40405615010690 1 1 0.7500000
#> 140 40405616010690 1 1 0.7500000
#> 141 40405617010690 1 1 1.0000000
#> 142 40405619010690 1 1 1.0000000
#> 143 40405621010690 1 1 1.0000000
#> 144 40405622010690 1 1 1.0000000
#> 145 40405623010690 1 1 1.0000000
#> 146 40405625010690 1 1 1.0000000
#> 147 40405626010690 1 1 1.0000000
#> 148 40405629010690 1 1 1.0000000
#> 149 40405630010690 1 1 1.0000000
#> 150 40405633010690 1 1 1.0000000
#> 151 40405634010690 1 1 1.0000000
#> 152 40405638010690 2 1 0.2500000
#> 153 40405644010690 1 1 1.0000000
#> 154 40405646010690 1 1 1.0000000
#> 155 40405650010690 1 1 1.0000000
#> 156 40405651010690 1 1 1.0000000
#> 157 40405655010690 1 1 1.0000000
#> 158 40405659010690 1 1 0.7500000
#> 159 40405668010690 1 1 1.0000000
#> 160 40405670010690 1 1 1.0000000
#> 161 40405699010690 1 1 1.0000000
#> 162 40405708010690 1 1 1.0000000
#> 163 40405722010690 1 1 1.0000000
#> 164 40405729010690 1 1 1.0000000
#> 165 40405739010690 1 1 1.0000000
#> 166 40405749010690 1 1 1.0000000
#> 167 40405767010690 1 1 1.0000000
#> 168 40405768010690 1 1 1.0000000
#> 169 40405776010690 1 1 0.7500000
#> 170 40405792010690 1 1 1.0000000
#> 171 40405797010690 1 1 1.0000000
#> 172 40405798010690 1 1 1.0000000
#> 173 40405806010690 1 1 1.0000000
#> 174 40405807010690 1 1 1.0000000
#> 175 40405815010690 1 1 1.0000000
#> 176 40405817010690 1 1 1.0000000
#> 177 40405821010690 1 1 1.0000000
#> 178 40405822010690 1 1 0.7500000
#> 179 40405822010690 2 1 0.2500000
#> 180 40405828010690 1 1 1.0000000
#> 181 40405835010690 1 1 1.0000000
#> 182 40405836010690 1 1 0.7500000
#> 183 40405843010690 1 1 1.0000000
#> 184 40405865010690 1 1 1.0000000
#> 185 40405871010690 1 1 1.0000000
#> 186 40405872010690 1 1 1.0000000
#> 187 40405876010690 2 1 0.5000000
#> 188 40405877010690 1 1 1.0000000
#> 189 40405880010690 1 1 1.0000000
#> 190 40405902010690 1 1 1.0000000
#> 191 40405903010690 1 1 1.0000000
#> 192 40405907010690 1 1 1.0000000
#> 193 40405921010690 1 1 1.0000000
#> 194 40405982010690 2 1 0.2500000
#> 195 40405993010690 1 1 0.7500000
#> 196 40405993010690 2 1 0.2500000
#> 197 40405998010690 2 1 0.2500000
#> 198 40406000010690 1 1 1.0000000
#> 199 40406005010690 1 1 1.0000000
#> 200 40406019010690 1 1 1.0000000
#> 201 40406020010690 1 1 1.0000000
#> 202 40406022010690 2 1 0.2500000
#> 203 40406042010690 1 1 1.0000000
#> 204 40406044010690 1 1 0.5000000
#> 205 40406044010690 2 1 0.5000000
#> 206 40406045010690 1 1 1.0000000
#> 207 40406047010690 1 1 0.5000000
#> 208 40406048010690 1 1 1.0000000
#> 209 40406049010690 1 1 1.0000000
#> 210 40406059010690 1 1 1.0000000
#> 211 40406064010690 1 1 1.0000000
#> 212 40406070010690 1 1 1.0000000
#> 213 40406076010690 1 1 1.0000000
#> 214 40406082010690 2 1 0.2500000
#> 215 40406086010690 2 1 0.2500000
#> 216 40406090010690 1 1 1.0000000
#> 217 40406091010690 1 1 1.0000000
#> 218 40406092010690 1 1 1.0000000
#> 219 40406100010690 1 1 1.0000000
#> 220 40406101010690 1 1 1.0000000
#> 221 40406108010690 1 1 0.7500000
#> 222 40406108010690 2 1 0.2500000
#> 223 40406120010690 1 1 1.0000000
#> 224 40406138010690 2 1 0.2500000
#> 225 40406150010690 2 1 0.2500000
#> 226 40406156010690 1 1 1.0000000
#> 227 40406212010690 1 1 1.0000000
#> 228 40406250010690 1 1 1.0000000
#> 229 40406262010690 1 1 1.0000000
#> 230 40406263010690 2 1 0.2500000
#> 231 40406265010690 1 1 1.0000000
#> 232 40406266010690 1 1 1.0000000
#> 233 40406267010690 1 1 0.8502050
#> 234 40406268010690 1 1 1.0000000
#> 235 40406269010690 2 1 0.2500000
#> 236 40406270010690 1 1 1.0000000
#> 237 40406272010690 1 1 1.0000000
#> 238 40406274010690 1 1 0.5000000
#> 239 40406274010690 2 1 0.5000000
#> 240 40406277010690 1 1 1.0000000
#> 241 40406279010690 1 1 1.0000000
#> 242 40406281010690 1 1 1.0000000
#> 243 40406284010690 1 1 1.0000000
#> 244 40406287010690 1 1 1.0000000
#> 245 40406290010690 1 1 1.0000000
#> 246 40406291010690 2 1 0.5000000
#> 247 40406293010690 1 1 0.7500000
#> 248 40406293010690 2 1 0.2500000
#> 249 40406295010690 1 1 1.0000000
#> 250 40406297010690 1 1 1.0000000
#> 251 40406298010690 1 1 0.7500000
#> 252 40406298010690 2 1 0.2500000
#> 253 40406299010690 1 1 1.0000000
#> 254 40406300010690 1 1 1.0000000
#> 255 40406301010690 1 1 1.0000000
#> 256 40406302010690 1 1 1.0000000
#> 257 40406303010690 1 1 0.7500000
#> 258 40406304010690 1 1 1.0000000
#> 259 40406305010690 1 1 1.0000000
#> 260 40406306010690 1 1 1.0000000
#> 261 40406307010690 1 1 0.5000000
#> 262 40406308010690 1 1 1.0000000
#> 263 40406311010690 1 1 1.0000000
#> 264 40406319010690 1 1 1.0000000
#> 265 40406323010690 1 1 1.0000000
#> 266 40406329010690 1 1 0.7500000
#> 267 40406382010690 1 1 1.0000000
#> 268 40406383010690 1 1 0.7500000
#> 269 40406383010690 2 1 0.2500000
#> 270 40406385010690 1 1 1.0000000
#> 271 40406509010690 1 1 1.0000000
#> 272 40406510010690 1 1 0.7500000
#> 273 40406510010690 2 1 0.2500000
#> 274 40406515010690 1 1 1.0000000
#> 275 40406536010690 1 1 0.4824570
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#> 284 40406664010690 1 1 1.0000000
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#> 287 40406669010690 1 1 1.0000000
#> 288 40406672010690 1 1 1.0000000
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#> 292 40406676010690 1 1 1.0000000
#> 293 40406677010690 1 1 1.0000000
#> 294 40406679010690 1 1 1.0000000
#> 295 40406680010690 1 1 1.0000000
#> 296 40406681010690 1 1 1.0000000
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#> 299 40406689010690 1 1 0.7500000
#> 300 40406691010690 1 1 1.0000000
#> 301 40406695010690 1 1 1.0000000
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#> 304 40406699010690 1 1 1.0000000
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#> 306 40406705010690 1 1 1.0000000
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#> 310 40406709010690 1 1 1.0000000
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#> 326 40406747010690 1 1 1.0000000
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#> 328 40406749010690 1 1 1.0000000
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#> 370 40406851010690 1 1 1.0000000
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#> 461 40407183010690 1 1 1.0000000
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#> 523 40407596010690 1 1 1.0000000
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#> 542 40407626010690 1 1 1.0000000
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#> 548 40407634010690 1 1 1.0000000
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#> 550 40407636010690 1 1 0.7500000
#> 551 40407637010690 1 1 1.0000000
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#> 559 40407649010690 1 1 1.0000000
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#> 561 40407651010690 1 1 1.0000000
#> 562 40407652010690 1 1 1.0000000
#> 563 40407653010690 1 1 1.0000000
#> 564 40407654010690 1 1 0.7500000
#> 565 40407654010690 2 1 0.2500000
#> 566 40407655010690 1 1 1.0000000
#> 567 40407657010690 1 1 1.0000000
#> 568 40407658010690 1 1 0.7500000
#> 569 40407659010690 1 1 1.0000000
#> 570 40407660010690 1 1 1.0000000
#> 571 40407686010690 2 1 0.5000000
#> 572 40407688010690 1 1 0.7500000
#> 573 40407709010690 1 1 1.0000000
#> 574 40407714010690 2 1 0.2500000
#> 575 40407717010690 1 1 1.0000000
#> 576 40407718010690 1 1 1.0000000
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#> 578 40407750010690 1 1 1.0000000
#> 579 40407780010690 1 1 1.0000000
#> 580 40407783010690 1 1 1.0000000
#> 581 40407795010690 1 1 0.7500000
#> 582 40407799010690 1 1 1.0000000
#> 583 40407800010690 1 1 0.7500000
#> 584 40407801010690 1 1 1.0000000
#> 585 40407804010690 1 1 1.0000000
#> 586 40407815010690 1 1 1.0000000
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#> 588 40407831010690 2 1 0.2500000
#> 589 40407861010690 1 1 0.7500000
#> 590 46792188020004 1 1 1.0000000
#>
#> $raw$module
#> [1] "SA"
#>
#> $raw$esttype
#> [1] "AREA"
#>
#> $raw$SApackage
#> [1] "JoSAE"
#>
#> $raw$SAmethod
#> [1] "area"
#>
#> $raw$estnm
#> [1] "est"
#>
#> $raw$predselect.unit
#> LARGEBND LARGEBND TOTAL dem tcc tpi tnt2
#> 1 SApopdat 1 1 0 0.008603758 0 -0.02434846
#>
#> $raw$predselect.area
#> LARGEBND LARGEBND TOTAL dem tcc tpi tnt2
#> 1 SApopdat 1 1 0 0 0 0
#>
#> $raw$SAobjlst
#> $raw$SAobjlst$SApopdat
#> $raw$SAobjlst$SApopdat$unit.JoSAE.obj
#> domain.ID DOMAIN.domain STATECD.domain COUNTYCD.domain npixels.domain
#> 1 1 1 56 1 1376714
#> 2 11 11 56 11 915454
#> 3 13 13 56 13 2961420
#> 4 15 15 56 15 713352
#> 5 17 17 56 17 641459
#> 6 19 19 56 19 1334190
#> 7 21 21 56 21 859967
#> 8 23 23 56 23 1308662
#> 9 25 25 56 25 1720554
#> 10 27 27 56 27 841523
#> 11 29 29 56 29 2228161
#> 12 3 3 56 3 1010229
#> 13 31 31 56 31 675011
#> 14 33 33 56 33 807188
#> 15 35 35 56 35 1577267
#> 16 37 37 56 37 3355881
#> 17 39 39 56 39 1349166
#> 18 41 41 56 41 668120
#> 19 43 43 56 43 717122
#> 20 45 45 56 45 767376
#> 21 5 5 56 5 1538394
#> 22 7 7 56 7 2546066
#> 23 9 9 56 9 1362852
#> dem.domain tcc.domain tpi.domain tnt2.domain n.total.domain AOI.domain
#> 1 0.6598451 -0.03141457 0.02410391 -0.042887844 133 1
#> 2 -1.3094397 0.40230718 0.02371708 -0.313472854 85 1
#> 3 0.3972305 -0.06168731 0.02355032 -0.008444611 290 1
#> 4 -1.0811447 -0.39829389 0.02385520 0.380809162 70 1
#> 5 -0.1489854 -0.21369211 0.02429740 -0.020315265 58 1
#> 6 -0.5102112 0.14107300 0.02396383 -0.046262537 128 1
#> 7 -0.2463118 -0.41499575 0.02376571 0.396036366 86 1
#> 8 0.6245413 0.37904477 0.02373278 -0.299005826 132 1
#> 9 -0.1923341 -0.35050535 0.02401586 0.301923399 175 1
#> 10 -1.1468399 -0.42551939 0.02391425 0.304101296 79 1
#> 11 0.6983394 0.61652010 0.02383676 -0.728038041 216 1
#> 12 -0.6063518 0.03853765 0.02375948 0.018075308 98 1
#> 13 -0.7592113 -0.26690880 0.02369780 0.226691002 64 1
#> 14 -0.7626303 0.49425044 0.02387319 -0.345621625 82 1
#> 15 1.0107771 0.21888086 0.02454527 -0.222879790 158 1
#> 16 0.2924267 -0.43402957 0.02382172 0.391209881 339 1
#> 17 1.0255653 1.48278434 0.02372393 -1.312464307 125 1
#> 18 0.5315508 -0.15177307 0.02359849 0.133340723 63 1
#> 19 -0.7130302 -0.14297623 0.02342656 0.156749635 63 1
#> 20 -1.1930271 -0.20750101 0.02353014 0.125040286 73 1
#> 21 -1.1747311 -0.32445118 0.02392288 0.354126836 152 1
#> 22 0.5592886 0.01329258 0.02386679 -0.013807115 245 1
#> 23 -0.5938230 -0.25765696 0.02366908 0.198092337 133 1
#> LARGEBND.domain ESTIMATED_VALUE.domain ESTIMATED_VALUE.var.domain
#> 1 1 0.9433883 0.02961577
#> 2 1 0.9230769 0.03384615
#> 3 1 0.9481132 0.02009253
#> 4 1 1.0000000 0.00000000
#> 5 1 0.7187500 0.15066964
#> 6 1 0.8409091 0.09253247
#> 7 1 1.0000000 0.00000000
#> 8 1 0.9171107 0.04084741
#> 9 1 0.9260653 0.03826439
#> 10 1 1.0000000 0.00000000
#> 11 1 0.9169032 0.04305435
#> 12 1 0.8750000 0.03977273
#> 13 1 0.8513679 0.04693414
#> 14 1 0.9066526 0.04278770
#> 15 1 0.8829030 0.03946831
#> 16 1 0.8888889 0.03298611
#> 17 1 0.9438046 0.02840541
#> 18 1 0.7500000 0.10000000
#> 19 1 1.0000000 0.00000000
#> 20 1 0.9062500 0.01674107
#> 21 1 0.7321429 0.11023352
#> 22 1 0.9215605 0.04296574
#> 23 1 0.9156921 0.04396275
#> ESTIMATED_VALUE tnt2 tcc n.i.sample mean.resid.lm
#> 1 0.9433883 -1.16673564 1.10346874 24 0.042987733
#> 2 0.9230769 -1.14915739 1.30156103 26 0.021167763
#> 3 0.9481132 -1.48148587 1.30175457 53 0.037071090
#> 4 1.0000000 -0.93821835 1.31181824 2 0.103783450
#> 5 0.7187500 -0.25266648 -0.19663215 8 -0.143465192
#> 6 0.8409091 -1.68609312 2.34826230 22 -0.086275868
#> 7 1.0000000 0.43288540 -0.15496225 2 0.156202007
#> 8 0.9171107 -1.15470841 1.58026012 38 0.012247073
#> 9 0.9260653 -1.13409031 0.87368900 7 0.028871724
#> 10 1.0000000 -2.30932209 1.61184152 2 0.063094906
#> 11 0.9169032 -1.39525293 1.32057313 99 0.008041166
#> 12 0.8750000 -1.16673564 1.80074507 12 -0.032410692
#> 13 0.8513679 -0.25266648 0.09505715 8 -0.013779820
#> 14 0.9066526 -1.89799097 2.45857389 20 -0.027463471
#> 15 0.8829030 -1.31215573 1.37394427 44 -0.024212363
#> 16 0.8888889 0.43288540 -0.17718620 9 0.045314324
#> 17 0.9438046 -1.93008063 2.06364963 94 0.012777238
#> 18 0.7500000 -0.02414919 1.35626613 6 -0.121548570
#> 19 1.0000000 -0.25266648 1.21181048 4 0.123625008
#> 20 0.9062500 -0.93821835 1.33682018 8 0.009782093
#> 21 0.7321429 0.23701343 0.14506103 14 -0.120053176
#> 22 0.9215605 -2.15697723 2.20262811 36 -0.017098242
#> 23 0.9156921 -1.09056321 0.91549119 18 0.019274180
#> mean.resid.lme Synth EBLUP GREG gamma.i sample.var.mean
#> 1 0.042987735 0.8581124 0.8581124 0.9011001 8.596198e-08 0.0012339903
#> 2 0.021167764 0.8699073 0.8699073 0.8910751 9.312548e-08 0.0013017751
#> 3 0.037071092 0.8568617 0.8568617 0.8939327 1.898327e-07 0.0003791043
#> 4 0.103783452 0.8427825 0.8427825 0.9465659 7.163499e-09 0.0000000000
#> 5 -0.143465191 0.8556596 0.8556596 0.7121944 2.865400e-08 0.0188337054
#> 6 -0.086275867 0.8599392 0.8599392 0.7736633 7.879849e-08 0.0042060213
#> 7 0.156202008 0.8421962 0.8421962 0.9983982 7.163499e-09 0.0000000000
#> 8 0.012247074 0.8692760 0.8692760 0.8815231 1.361065e-07 0.0010749318
#> 9 0.028871726 0.8454304 0.8454304 0.8743021 2.507225e-08 0.0054663420
#> 10 0.063094908 0.8446164 0.8446164 0.9077113 7.163499e-09 0.0000000000
#> 11 0.008041167 0.8834515 0.8834515 0.8914926 3.545931e-07 0.0004348925
#> 12 -0.032410691 0.8571406 0.8571406 0.8247299 4.298099e-08 0.0033143939
#> 13 -0.013779819 0.8483379 0.8483379 0.8345581 2.865400e-08 0.0058667675
#> 14 -0.027463470 0.8717150 0.8717150 0.8442515 7.163499e-08 0.0021393849
#> 15 -0.024212362 0.8655741 0.8655741 0.8413618 1.575970e-07 0.0008970071
#> 16 0.045314325 0.8421375 0.8421375 0.8874518 3.223575e-08 0.0036651235
#> 17 0.012777239 0.9082181 0.9082181 0.9209953 3.366844e-07 0.0003021852
#> 18 -0.121548569 0.8520603 0.8520603 0.7305117 2.149050e-08 0.0166666667
#> 19 0.123625009 0.8515056 0.8515056 0.9751306 1.432700e-08 0.0000000000
#> 20 0.009782094 0.8517281 0.8517281 0.8615102 2.865400e-08 0.0020926339
#> 21 -0.120053175 0.8442580 0.8442580 0.7242048 5.014449e-08 0.0078738226
#> 22 -0.017098241 0.8577628 0.8577628 0.8406646 1.289430e-07 0.0011934927
#> 23 0.019274181 0.8492167 0.8492167 0.8684909 6.447149e-08 0.0024423752
#> GREG.var.mean c1 c2 c3 c3star
#> 1 1.360248e-03 1.438974e-10 1.701683e-04 6.707042e-05 7.404123e-05
#> 2 1.119587e-03 1.438974e-10 1.279436e-04 7.265962e-05 2.106972e-05
#> 3 3.678124e-04 1.438974e-10 1.746160e-04 1.481138e-04 2.685248e-04
#> 4 2.890044e-03 1.438974e-10 2.318240e-04 5.589203e-06 2.996942e-06
#> 5 1.730498e-02 1.438974e-10 1.868983e-04 2.235681e-05 9.162947e-05
#> 6 4.317699e-03 1.438974e-10 1.588962e-04 6.148122e-05 2.506029e-04
#> 7 4.492838e-07 1.438974e-10 2.346344e-04 5.589203e-06 6.788837e-06
#> 8 9.453035e-04 1.438974e-10 1.298553e-04 1.061948e-04 1.506586e-05
#> 9 4.422714e-03 1.438974e-10 2.208400e-04 1.956221e-05 2.841212e-06
#> 10 2.527222e-05 1.438974e-10 2.277018e-04 5.589203e-06 1.107671e-06
#> 11 4.132528e-04 1.438973e-10 1.012834e-04 2.766653e-04 4.408290e-05
#> 12 2.637609e-03 1.438974e-10 1.696754e-04 3.353521e-05 1.052207e-05
#> 13 5.342365e-03 1.438974e-10 2.077097e-04 2.235681e-05 8.453355e-07
#> 14 2.053277e-03 1.438974e-10 1.223152e-04 5.589202e-05 2.098615e-05
#> 15 9.933324e-04 1.438974e-10 1.427057e-04 1.229624e-04 7.894808e-05
#> 16 3.747129e-03 1.438974e-10 2.358270e-04 2.515141e-05 1.156960e-05
#> 17 2.942530e-04 1.438974e-10 7.248766e-05 2.626923e-04 1.003440e-04
#> 18 1.539204e-02 1.438974e-10 1.914055e-04 1.676761e-05 3.699681e-05
#> 19 5.250493e-04 1.438974e-10 1.926217e-04 1.117841e-05 1.700963e-05
#> 20 1.211267e-03 1.438974e-10 1.951453e-04 2.235681e-05 4.259963e-07
#> 21 7.660210e-03 1.438974e-10 2.234095e-04 3.912442e-05 1.965013e-04
#> 22 1.112185e-03 1.438974e-10 1.689374e-04 1.006056e-04 2.635541e-05
#> 23 2.412735e-03 1.438974e-10 2.046921e-04 5.030282e-05 8.372573e-06
#> EBLUP.var.1 EBLUP.var.2 sample.se GREG.se EBLUP.se.1 EBLUP.se.2
#> 1 0.0003182509 0.0003112801 0.03512820 0.0368815401 0.01783959 0.01764313
#> 2 0.0001700832 0.0002216731 0.03608012 0.0334602320 0.01304159 0.01488869
#> 3 0.0007116657 0.0005912547 0.01947060 0.0191784351 0.02667706 0.02431573
#> 4 0.0002378180 0.0002404103 0.00000000 0.0537591290 0.01542135 0.01550517
#> 5 0.0003701574 0.0003008847 0.13723595 0.1315483774 0.01923947 0.01734603
#> 6 0.0006601021 0.0004709804 0.06485385 0.0657091986 0.02569245 0.02170208
#> 7 0.0002482122 0.0002470125 0.00000000 0.0006702864 0.01575475 0.01571663
#> 8 0.0001599872 0.0002511162 0.03278615 0.0307457885 0.01264860 0.01584664
#> 9 0.0002265225 0.0002432435 0.07393471 0.0665034871 0.01505067 0.01559627
#> 10 0.0002299173 0.0002343989 0.00000000 0.0050271478 0.01516302 0.01531009
#> 11 0.0001894494 0.0004220317 0.02085408 0.0203286199 0.01376406 0.02054341
#> 12 0.0001907196 0.0002137328 0.05757077 0.0513576604 0.01381013 0.01461960
#> 13 0.0002094005 0.0002309120 0.07659483 0.0730914804 0.01447068 0.01519579
#> 14 0.0001642877 0.0001991935 0.04625349 0.0453131020 0.01281748 0.01411359
#> 15 0.0003006020 0.0003446163 0.02995008 0.0315171762 0.01733788 0.01856384
#> 16 0.0002589664 0.0002725482 0.06054026 0.0612137972 0.01609243 0.01650903
#> 17 0.0002731758 0.0004355241 0.01738347 0.0171538040 0.01652803 0.02086921
#> 18 0.0002653992 0.0002451700 0.12909944 0.1240646455 0.01629108 0.01565791
#> 19 0.0002266411 0.0002208098 0.00000000 0.0229139542 0.01505460 0.01485967
#> 20 0.0001959974 0.0002179282 0.04574532 0.0348032550 0.01399991 0.01476239
#> 21 0.0006164123 0.0004590354 0.08873456 0.0875226273 0.02482765 0.02142511
#> 22 0.0002216484 0.0002958986 0.03454696 0.0333494366 0.01488786 0.01720170
#> 23 0.0002214373 0.0002633676 0.04942039 0.0491196018 0.01488077 0.01622860
#>
#>
#>
#> $raw$estvar
#> [1] "ESTIMATED_VALUE"
#>
#> $raw$areaunits
#> [1] "acres"
#>
#>
#> $multest
#> DOMAIN LARGEBND NBRPLT JU.EBLUP JU.EBLUP.se.1 JU.GREG JU.GREG.se hbsaeU
#> 1 1 1 133 0.8581124 0.01783959 0.9011001 0.0368815401 NA
#> 2 11 1 85 0.8699073 0.01304159 0.8910751 0.0334602320 NA
#> 3 13 1 290 0.8568617 0.02667706 0.8939327 0.0191784351 NA
#> 4 15 1 70 0.8427825 0.01542135 0.9465659 0.0537591290 NA
#> 5 17 1 58 0.8556596 0.01923947 0.7121944 0.1315483774 NA
#> 6 19 1 128 0.8599392 0.02569245 0.7736633 0.0657091986 NA
#> 7 21 1 86 0.8421962 0.01575475 0.9983982 0.0006702864 NA
#> 8 23 1 132 0.8692760 0.01264860 0.8815231 0.0307457885 NA
#> 9 25 1 175 0.8454304 0.01505067 0.8743021 0.0665034871 NA
#> 10 27 1 79 0.8446164 0.01516302 0.9077113 0.0050271478 NA
#> 11 29 1 216 0.8834515 0.01376406 0.8914926 0.0203286199 NA
#> 12 3 1 98 0.8571406 0.01381013 0.8247299 0.0513576604 NA
#> 13 31 1 64 0.8483379 0.01447068 0.8345581 0.0730914804 NA
#> 14 33 1 82 0.8717150 0.01281748 0.8442515 0.0453131020 NA
#> 15 35 1 158 0.8655741 0.01733788 0.8413618 0.0315171762 NA
#> 16 37 1 339 0.8421375 0.01609243 0.8874518 0.0612137972 NA
#> 17 39 1 125 0.9082181 0.01652803 0.9209953 0.0171538040 NA
#> 18 41 1 63 0.8520603 0.01629108 0.7305117 0.1240646455 NA
#> 19 43 1 63 0.8515056 0.01505460 0.9751306 0.0229139542 NA
#> 20 45 1 73 0.8517281 0.01399991 0.8615102 0.0348032550 NA
#> 21 5 1 152 0.8442580 0.02482765 0.7242048 0.0875226273 NA
#> 22 7 1 245 0.8577628 0.01488786 0.8406646 0.0333494366 NA
#> 23 9 1 133 0.8492167 0.01488077 0.8684909 0.0491196018 NA
#> hbsaeU.se JFH JFH.se hbsaeA hbsaeA.se NBRPLT.gt0 AOI AREAUSED
#> 1 NA NA NA NA NA 24 1 2757613
#> 2 NA NA NA NA NA 26 1 1837124
#> 3 NA NA NA NA NA 53 1 5930088
#> 4 NA NA NA NA NA 2 1 1428579
#> 5 NA NA NA NA NA 8 1 1283969
#> 6 NA NA NA NA NA 22 1 2671802
#> 7 NA NA NA NA NA 2 1 1720074
#> 8 NA NA NA NA NA 38 1 2616954
#> 9 NA NA NA NA NA 7 1 3440445
#> 10 NA NA NA NA NA 2 1 1681849
#> 11 NA NA NA NA NA 99 1 4459826
#> 12 NA NA NA NA NA 12 1 2021729
#> 13 NA NA NA NA NA 8 1 1350969
#> 14 NA NA NA NA NA 20 1 1617318
#> 15 NA NA NA NA NA 44 1 3158807
#> 16 NA NA NA NA NA 9 1 6714319
#> 17 NA NA NA NA NA 94 1 2701941
#> 18 NA NA NA NA NA 6 1 1336034
#> 19 NA NA NA NA NA 4 1 1435352
#> 20 NA NA NA NA NA 8 1 1536038
#> 21 NA NA NA NA NA 14 1 3072988
#> 22 NA NA NA NA NA 36 1 5096959
#> 23 NA NA NA NA NA 18 1 2729653
#>
# }