modMApop.RdGenerates population data for generating model-assisted estimation. Plots that are totally nonsampled are excluded from estimation dataset. Next, an adjustment factor is calculated by strata (if MAmethod="PS") or by estimation unit to adjust for nonsampled (nonresponse) conditions that have proportion less than 1. Attributes adjusted to a per-acre value are summed by plot, divided by the adjustment factor, and averaged by stratum and/or estimation unit. Note: population data must be generated by MA method.
modMApop(
popType = "VOL",
popTabs = popTables(),
popTabIDs = popTableIDs(),
popFilter = popFilters(),
pltassgn = NULL,
pltassgnid = "PLT_CN",
dsn = NULL,
pjoinid = "CN",
areawt = "CONDPROP_UNADJ",
adjplot = TRUE,
unitvar = NULL,
unitarea = NULL,
areavar = "ACRES",
unitzonal = NULL,
prednames = NULL,
predfac = NULL,
standardize = TRUE,
returndata = TRUE,
savedata = FALSE,
saveobj = FALSE,
objnm = "MApopdat",
unit_opts = NULL,
savedata_opts = NULL,
MAdata = NULL,
pltdat = NULL,
auxdat = NULL,
gui = FALSE,
...
)String. Type of evaluation(s) to include in population data. Note: currently only c('CURR', 'VOL', 'LULC') are available. See details below for descriptions of each.
List of population tables the user would like returned. See help(popTables) for a list of options.
List of unique IDs corresponding to the population tables that the user has requested. See help(popTableIDs) for a list of options.
List of population filters. See help(popFilters) for a list of options.
DF/DT, Optional. R object, sf R object, comma-delimited file(.csv), layer or spatial layer in dsn, or shapefile(.shp). Plot-level assignment of estimation unit and/or strata, with one record for each plot.
String.
String. Name of database where tree, cond, and plot-level tables reside. The dsn varies by driver. See gdal OGR vector formats (https://www.gdal.org/ogr_formats.html).
String. Join variable in plot to match pltassgnid. Does not need to be uniqueid. If using most current XY coordinates for plot assignments, use identifier for plot (e.g., PLOT_ID).
String. Name of variable for summarizing area weights (e.g., CONDPROP_UNADJ).
Logical. If TRUE, adjusts for nonresponse at plot-level.
String. Name of the estimation unit variable in unitarea and cond or pltassgn data frame with estimation unit assignment for each plot (e.g., 'ESTN_UNIT'). Optional if only one estimation unit.
Numeric or DF. Total area by estimation unit. If only 1 estimation unit, include number of total acreage for the area of interest or a data frame with area and estimation unit. If more than one estimation unit, provide a data frame of total area by estimation unit, including unitvar and areavar.
String. Name of area variable in unitarea. Default="ACRES".
DF/DT. Table with zonal auxiliary information by estimation unit. For continuous data, means by estimation unit; for categorical data, proportion of class by estimation unit.
String vector. Name(s) of predictor variables to include in model.
String vector. Name(s) of prednames that are factors (i.e., categorical). Names will change in output depending on number of categories.
Logical. If TRUE, predictors are standardized.
Logical. If TRUE, returns data objects.
Logical. If TRUE, saves table(s) to outfolder.
Logical. If TRUE, saves returned list object to outfolder.
String. Name of *.rds object.
List. See help(unit_options()) for a list of options.
List. See help(savedata_options()) for a list of options. Only used when savedata = TRUE.
List. Data output from FIESTA::MAdata().
R List object. Output data list components from FIESTA::spGetPlots().
List. Auxiliary data output from FIESTA::spGetAuxiliary().
Logical. If gui, user is prompted for parameters.
For extendibility.
A list with population data for Green-Book estimates.
Data frame. Condition-level data including plot-level assignment of estimation unit and stratum (if strata=TRUE) and adjusted condition proportion.
Data frame. Condition-level data, merged with plot data.
String. Unique identifier of plot in condx and pltcondx.
String. Unique identifier of condition in condx and pltcondx.
Data frame. If esttype='TREE', tree-level data, including sample adjustment factor.
String. If esttype='TREE', unique identifier of plot in treex.
String. If ACI=FALSE, ACI.filter="COND_STATUS_CD == 1" .
String. Returned table of area by estimation unit.
String. Variable name for estimation unit.
String. If ACI=FALSE, ACI.filter="COND_STATUS_CD == 1".
Data frame. Number of plots by PLOT_STATUS_CD.
Data frame. Number of conditions by COND_STATUS_CD.
String. State names in dataset.
String. Range of inventory years in dataset.
| Variable | Description | |
| unitvar | estimation unit | |
| n.total | number of plots for estimation unit | |
| CONDPROP_UNADJ_SUM | summed condition proportion by strata and estimation unit | |
| CONDPROP_ADJFAC | adjusted condition proportion by strata after nonsampled plots removed | |
| AREA_USED | total area of estimation unit | |
| expfac | strata-level expansion factor after nonsampled plots and conditions removed (AREA_USED/n.strata) | |
| EXPNS | strata-level area expansions (expfac * strwt) |
Table(s) are also written to outfolder.
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 pltassgn (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 (e.g. 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 pltassgn (e.g. 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. | ||
| pltassgn | puniqueid | Unique identifier for each plot, to link to cond (e.g. 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. |
For available reference tables: sort(unique(FIESTAutils::ref_codes$VARIABLE))
ADJUSTMENT FACTOR:
The adjustment factor is necessary to account for
nonsampled conditions. It is calculated for each estimation unit by strata.
by summing the unadjusted proportions of the subplot, microplot, and
macroplot (i.e. *PROP_UNADJ) and dividing by the number of plots in the
strata/estimation unit).
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.
unitcombine:
If TRUE and less than 2 plots in any one estimation unit,
all estimation units with 10 or less plots are combined. The current method
for combining is to group the estimation unit with less than 10 plots with
the estimation unit following in consecutive order (numeric or
alphabetical), restrained by survey unit (UNITCD) if included in dataset,
and continuing until the number of plots equals 10. If there are no
estimation units following in order, it is combined with the estimation unit
previous in order.
stratcombine:
If TRUE and less than 2 plots in any one strata class
within an estimation unit, all strata classes with 2 or less plots are
combined. The current method for combining is to group the strata with less
than 2 plots with the strata class following in consecutive order (numeric
or alphabetical), restrained by estimation unit (if unitcombine=FALSE), and
continuing until the number of plots equals 10. If there are no strata
classes following in order, it is combined with the estimation unit previous
in order.
Scott, Charles T.; Bechtold, William A.; Reams, Gregory A.; Smith, William D.; Westfall, James A.; Hansen, Mark H.; Moisen, Gretchen G. 2005. Sample-based estimators used by the Forest Inventory and Analysis national information management system. Gen. Tech. Rep. SRS-80. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, p.53-77.
# \donttest{
# NOTE: FIA data objects used in these examples are stored in `FIESTA`, but
# can be generated for populations of interest by the user with functions in
# `FIESTA` such as `spGetPlots()`, `spGetAuxiliary()`, etc. For more
# information, see `FIESTA`'s extensive vignettes.
# Population data for counties in Wyoming
modMApop(popTabs = list(tree = FIESTA::WYtree,
cond = FIESTA::WYcond),
pltassgn = FIESTA::WYpltassgn,
pltassgnid = "CN",
unitarea = FIESTA::WYunitarea,
unitvar = "ESTN_UNIT",
unitzonal = FIESTA::WYunitzonal,
prednames = c("dem", "tcc", "tpi", "tnt"),
predfac = "tnt")
#> INTENSITY not in dataset.. assuming single intensity plots
#> DESIGNCD not in dataset.. assuming DESIGNCD = 1 (annual inventory)
#> For FIA estimation, adjustment factors are calculated to account for plots with partial nonresponse.
#> ...there are 14 nonsampled forest conditions in the dataset.
#> filter removed 14 records: COND_STATUS_CD != 5
#> $module
#> [1] "MA"
#>
#> $popType
#> [1] "VOL"
#>
#> $condx
#> PLT_CN CONDID CONDPROP_UNADJ SUBPPROP_UNADJ MICRPROP_UNADJ
#> 1: 40404728010690 1 1 1 1
#> 2: 40404729010690 1 1 1 1
#> 3: 40404730010690 1 1 1 1
#> 4: 40404731010690 1 1 1 1
#> 5: 40404733010690 1 1 1 1
#> ---
#> 3206: 40407866010690 1 1 1 1
#> 3207: 40407867010690 1 1 1 1
#> 3208: 40407868010690 1 1 1 1
#> 3209: 40407869010690 1 1 1 1
#> 3210: 46792188020004 1 1 1 1
#> MACRPROP_UNADJ ESTN_UNIT dem tcc tpi tnt2 cadjfac ADJ_FACTOR_SUBP
#> 1: NA 1 2372 0 10.625 1 1 1
#> 2: NA 1 2382 5 0.750 1 1 1
#> 3: NA 1 2274 45 -12.125 0 1 1
#> 4: NA 1 2203 0 -0.125 1 1 1
#> 5: NA 1 2276 0 1.250 1 1 1
#> ---
#> 3206: NA 45 1248 2 0.125 1 1 1
#> 3207: NA 45 1286 0 2.875 1 1 1
#> 3208: NA 45 1272 0 1.875 1 1 1
#> 3209: NA 45 1209 0 1.250 1 1 1
#> 3210: NA 29 2165 13 0.500 1 1 1
#> ADJ_FACTOR_MACR ADJ_FACTOR_MICR CONDPROP_ADJ
#> 1: 0 1 1
#> 2: 0 1 1
#> 3: 0 1 1
#> 4: 0 1 1
#> 5: 0 1 1
#> ---
#> 3206: 0 1 1
#> 3207: 0 1 1
#> 3208: 0 1 1
#> 3209: 0 1 1
#> 3210: 0 1 1
#>
#> $pltcondx
#> PLT_CN STATECD UNITCD COUNTYCD INVYR PLOT_STATUS_CD MEASYEAR
#> 1: 40404728010690 56 2 1 2013 2 2013
#> 2: 40404729010690 56 2 1 2011 1 2011
#> 3: 40404730010690 56 2 1 2013 1 2013
#> 4: 40404731010690 56 2 1 2012 2 2012
#> 5: 40404733010690 56 2 1 2012 2 2012
#> ---
#> 3206: 40407866010690 56 3 45 2011 2 2011
#> 3207: 40407867010690 56 3 45 2012 2 2012
#> 3208: 40407868010690 56 3 45 2011 2 2011
#> 3209: 40407869010690 56 3 45 2013 2 2013
#> 3210: 46792188020004 56 1 29 2012 1 2012
#> RDDISTCD CONDID COND_NONSAMPLE_REASN_CD OWNCD OWNGRPCD RESERVCD SITECLCD
#> 1: NA 1 NA 46 40 0 NA
#> 2: 1 1 NA 46 40 0 7
#> 3: 6 1 NA 11 10 0 6
#> 4: NA 1 NA 22 20 0 NA
#> 5: NA 1 NA 46 40 0 NA
#> ---
#> 3206: NA 1 NA 46 40 0 NA
#> 3207: NA 1 NA 46 40 0 NA
#> 3208: NA 1 NA 12 10 0 NA
#> 3209: NA 1 NA 46 40 0 NA
#> 3210: 8 1 NA 11 10 1 6
#> STDORGCD ADFORCD LIVE_CANOPY_CVR_PCT COND_STATUS_CD NF_COND_STATUS_CD
#> 1: NA NA 0 2 NA
#> 2: 0 NA 17 1 NA
#> 3: 0 206 41 1 NA
#> 4: NA NA 0 2 NA
#> 5: NA NA 0 2 NA
#> ---
#> 3206: NA NA 0 2 NA
#> 3207: NA NA 0 2 NA
#> 3208: NA 206 1 2 NA
#> 3209: NA NA 0 2 NA
#> 3210: 0 214 48 1 NA
#> FORTYPCD STDSZCD STDAGE GSSTKCD DSTRBCD1 DSTRBYR1 DSTRBCD2 DSTRBYR2
#> 1: NA NA NA NA NA NA NA NA
#> 2: 366 1 46 5 0 NA 0 NA
#> 3: 201 1 220 3 0 NA 0 NA
#> 4: NA NA NA NA NA NA NA NA
#> 5: NA NA NA NA NA NA NA NA
#> ---
#> 3206: NA NA NA NA NA NA NA NA
#> 3207: NA NA NA NA NA NA NA NA
#> 3208: NA NA NA NA NA NA NA NA
#> 3209: NA NA NA NA NA NA NA NA
#> 3210: 201 1 109 3 0 NA 0 NA
#> FORTYPGRPCD TIMBERCD
#> 1: NA NA
#> 2: 360 2
#> 3: 200 1
#> 4: NA NA
#> 5: NA NA
#> ---
#> 3206: NA NA
#> 3207: NA NA
#> 3208: NA NA
#> 3209: NA NA
#> 3210: 200 1
#>
#> $cuniqueid
#> [1] "PLT_CN"
#>
#> $condid
#> [1] "CONDID"
#>
#> $ACI.filter
#> [1] "COND_STATUS_CD == 1"
#>
#> $unitarea
#> ESTN_UNIT ACRES
#> 1: 1 2757613
#> 2: 3 2021729
#> 3: 5 3072988
#> 4: 7 5096959
#> 5: 9 2729653
#> 6: 11 1837124
#> 7: 13 5930088
#> 8: 15 1428579
#> 9: 17 1283969
#> 10: 19 2671802
#> 11: 21 1720074
#> 12: 23 2616954
#> 13: 25 3440445
#> 14: 27 1681849
#> 15: 29 4459826
#> 16: 31 1350969
#> 17: 33 1617318
#> 18: 35 3158807
#> 19: 37 6714319
#> 20: 39 2701941
#> 21: 41 1336034
#> 22: 43 1435352
#> 23: 45 1536038
#> ESTN_UNIT ACRES
#>
#> $areavar
#> [1] "ACRES"
#>
#> $areaunits
#> [1] "acres"
#>
#> $unitvar
#> [1] "ESTN_UNIT"
#>
#> $unitvars
#> [1] "ESTN_UNIT"
#>
#> $unitlut
#> ESTN_UNIT STATECD COUNTYCD dem tcc tpi tnt2
#> 1: 1 56 1 2272.926 6.8530714 1.609176e-03 0.8264999
#> 2: 3 56 3 1647.743 7.9022732 -3.102019e-04 0.8487313
#> 3: 5 56 5 1367.107 2.4578633 6.003826e-04 0.9712791
#> 4: 7 56 7 2223.276 7.5236266 2.878460e-04 0.8371048
#> 5: 9 56 9 1653.929 3.4596989 -8.139182e-04 0.9143781
#> 6: 11 56 11 1300.595 13.3583927 -5.464502e-04 0.7278258
#> 7: 13 56 13 2143.260 6.3990155 -1.475728e-03 0.8390603
#> 8: 15 56 15 1413.315 1.3503086 2.232418e-04 0.9810094
#> 9: 17 56 17 1873.567 4.1191205 2.687428e-03 0.8347314
#> 10: 19 56 19 1695.213 9.4401841 8.285926e-04 0.8252693
#> 11: 21 56 21 1825.512 1.0998002 -2.754466e-04 0.9865623
#> 12: 23 56 23 2255.494 13.0094837 -4.589611e-04 0.7331014
#> 13: 25 56 25 1852.164 2.0670811 1.118535e-03 0.9522421
#> 14: 27 56 27 1380.878 0.9419578 5.522725e-04 0.9530363
#> 15: 29 56 29 2291.932 16.5713373 1.204469e-04 0.5766464
#> 16: 31 56 31 1572.269 3.3209321 -6.538782e-04 0.9248072
#> 17: 33 56 33 1570.581 14.7374346 3.234996e-04 0.7161021
#> 18: 35 56 35 2446.198 10.6072114 4.068747e-03 0.7608623
#> 19: 37 56 37 2091.513 0.8143151 3.665207e-05 0.9848022
#> 20: 39 56 39 2453.499 29.5642925 -5.082770e-04 0.3635238
#> 21: 41 56 41 2209.581 5.0478339 -1.207306e-03 0.8907651
#> 22: 43 56 43 1595.071 5.1797763 -2.165427e-03 0.8993017
#> 23: 45 56 45 1358.073 4.2119798 -1.588204e-03 0.8877382
#> ESTN_UNIT STATECD COUNTYCD dem tcc tpi tnt2
#> n.total
#> 1: 133
#> 2: 98
#> 3: 152
#> 4: 245
#> 5: 133
#> 6: 85
#> 7: 290
#> 8: 70
#> 9: 58
#> 10: 128
#> 11: 86
#> 12: 132
#> 13: 175
#> 14: 79
#> 15: 216
#> 16: 64
#> 17: 82
#> 18: 158
#> 19: 339
#> 20: 125
#> 21: 63
#> 22: 63
#> 23: 73
#> n.total
#>
#> $plotsampcnt
#> PLOT_STATUS_NM
#> 1 Sampled - at least one accessible forest land condition present on plot
#> 2 Sampled - no accessible forest land condition present on plot
#> PLOT_STATUS_CD NBRPLOT
#> 1 1 556
#> 2 2 2491
#>
#> $condsampcnt
#> COND_STATUS_NM COND_STATUS_CD NBRCOND
#> 1 Forest land 1 590
#> 2 Nonforest land 2 2590
#> 3 Noncensus water 3 10
#> 4 Census water 4 20
#> 5 Nonsampled 5 14
#>
#> $npixels
#> ESTN_UNIT npixels
#> 1: 1 1376714
#> 2: 3 1010229
#> 3: 5 1538394
#> 4: 7 2546066
#> 5: 9 1362852
#> 6: 11 915454
#> 7: 13 2961420
#> 8: 15 713352
#> 9: 17 641459
#> 10: 19 1334190
#> 11: 21 859967
#> 12: 23 1308662
#> 13: 25 1720554
#> 14: 27 841523
#> 15: 29 2228161
#> 16: 31 675011
#> 17: 33 807188
#> 18: 35 1577267
#> 19: 37 3355881
#> 20: 39 1349166
#> 21: 41 668120
#> 22: 43 717122
#> 23: 45 767376
#> ESTN_UNIT npixels
#>
#> $npixelvar
#> [1] "npixels"
#>
#> $states
#> [1] "Wyoming"
#>
#> $invyrs
#> $invyrs$Wyoming
#> [1] 2011 2012 2013
#>
#>
#> $estvar.area
#> [1] "CONDPROP_ADJ"
#>
#> $adj
#> [1] "plot"
#>
#> $treex
#> PLT_CN CONDID SUBP TREE STATUSCD SPCD SPGRPCD DIA HT TREECLCD
#> 1: 40404729010690 1 1 2 1 66 23 10.8 14 3
#> 2: 40404729010690 1 4 3 1 66 23 11.6 19 3
#> 3: 40404729010690 1 1 1 2 113 24 7.7 18 3
#> 4: 40404729010690 1 1 3 2 113 24 5.2 23 3
#> 5: 40404729010690 1 1 4 1 113 24 5.2 18 2
#> ---
#> 18376: 46792188020004 1 4 13 1 202 10 7.0 26 2
#> 18377: 46792188020004 1 4 14 2 202 10 11.4 53 3
#> 18378: 46792188020004 1 4 15 2 202 10 10.6 46 3
#> 18379: 46792188020004 1 4 16 2 202 10 6.3 41 3
#> 18380: 46792188020004 1 4 17 1 202 10 1.9 8 3
#> AGENTCD STANDING_DEAD_CD VOLCFNET VOLCFGRS VOLBFNET TPA_UNADJ
#> 1: NA NA 3.411463 3.411463 NA 6.018046
#> 2: NA NA 5.623683 5.797611 NA 6.018046
#> 3: 10 1 1.067166 1.940302 NA 6.018046
#> 4: 10 1 0.381894 0.694352 NA 6.018046
#> 5: NA NA 0.316063 0.316063 NA 6.018046
#> ---
#> 18376: NA NA 2.125580 2.125580 NA 6.018046
#> 18377: NA 1 15.149782 15.149782 NA 6.018046
#> 18378: NA 1 11.160959 11.160959 NA 6.018046
#> 18379: NA 1 2.945213 2.945213 NA 6.018046
#> 18380: NA NA NA NA NA 74.965282
#> DRYBIO_AG CARBON_AG BA TPROP_BASIS tadjfac
#> 1: 94.516629 47.258315 0.63615456 SUBP 1
#> 2: 155.807512 77.903756 0.73389024 SUBP 1
#> 3: 30.761698 15.380849 0.32336766 SUBP 1
#> 4: 11.305782 5.652891 0.14747616 SUBP 1
#> 5: 11.210763 5.605382 0.14747616 SUBP 1
#> ---
#> 18376: 88.388202 44.194101 0.26724600 SUBP 1
#> 18377: 305.250275 152.625138 0.70880184 SUBP 1
#> 18378: 225.732139 112.866070 0.61281144 SUBP 1
#> 18379: 61.586094 30.793047 0.21646926 SUBP 1
#> 18380: 5.065642 2.532821 0.01968894 MICR 1
#>
#> $tuniqueid
#> [1] "PLT_CN"
#>
#> $adjtree
#> [1] FALSE
#>
#> $prednames
#> [1] "dem" "tcc" "tpi" "tnt2"
#>
#> $predfac
#> [1] "tnt"
#>
# Adding seedling data as well
modMApop(popTabs = list(tree = FIESTA::WYtree,
cond = FIESTA::WYcond,
seed = FIESTA::WYseed),
pltassgn = FIESTA::WYpltassgn,
pltassgnid = "CN",
unitarea = FIESTA::WYunitarea,
unitvar = "ESTN_UNIT",
unitzonal = FIESTA::WYunitzonal,
prednames = c("dem", "tcc", "tpi", "tnt"),
predfac = "tnt")
#> INTENSITY not in dataset.. assuming single intensity plots
#> DESIGNCD not in dataset.. assuming DESIGNCD = 1 (annual inventory)
#> For FIA estimation, adjustment factors are calculated to account for plots with partial nonresponse.
#> ...there are 14 nonsampled forest conditions in the dataset.
#> filter removed 14 records: COND_STATUS_CD != 5
#> $module
#> [1] "MA"
#>
#> $popType
#> [1] "VOL"
#>
#> $condx
#> PLT_CN CONDID CONDPROP_UNADJ SUBPPROP_UNADJ MICRPROP_UNADJ
#> 1: 40404728010690 1 1 1 1
#> 2: 40404729010690 1 1 1 1
#> 3: 40404730010690 1 1 1 1
#> 4: 40404731010690 1 1 1 1
#> 5: 40404733010690 1 1 1 1
#> ---
#> 3206: 40407866010690 1 1 1 1
#> 3207: 40407867010690 1 1 1 1
#> 3208: 40407868010690 1 1 1 1
#> 3209: 40407869010690 1 1 1 1
#> 3210: 46792188020004 1 1 1 1
#> MACRPROP_UNADJ ESTN_UNIT dem tcc tpi tnt2 cadjfac ADJ_FACTOR_SUBP
#> 1: NA 1 2372 0 10.625 1 1 1
#> 2: NA 1 2382 5 0.750 1 1 1
#> 3: NA 1 2274 45 -12.125 0 1 1
#> 4: NA 1 2203 0 -0.125 1 1 1
#> 5: NA 1 2276 0 1.250 1 1 1
#> ---
#> 3206: NA 45 1248 2 0.125 1 1 1
#> 3207: NA 45 1286 0 2.875 1 1 1
#> 3208: NA 45 1272 0 1.875 1 1 1
#> 3209: NA 45 1209 0 1.250 1 1 1
#> 3210: NA 29 2165 13 0.500 1 1 1
#> ADJ_FACTOR_MACR ADJ_FACTOR_MICR CONDPROP_ADJ
#> 1: 0 1 1
#> 2: 0 1 1
#> 3: 0 1 1
#> 4: 0 1 1
#> 5: 0 1 1
#> ---
#> 3206: 0 1 1
#> 3207: 0 1 1
#> 3208: 0 1 1
#> 3209: 0 1 1
#> 3210: 0 1 1
#>
#> $pltcondx
#> PLT_CN STATECD UNITCD COUNTYCD INVYR PLOT_STATUS_CD MEASYEAR
#> 1: 40404728010690 56 2 1 2013 2 2013
#> 2: 40404729010690 56 2 1 2011 1 2011
#> 3: 40404730010690 56 2 1 2013 1 2013
#> 4: 40404731010690 56 2 1 2012 2 2012
#> 5: 40404733010690 56 2 1 2012 2 2012
#> ---
#> 3206: 40407866010690 56 3 45 2011 2 2011
#> 3207: 40407867010690 56 3 45 2012 2 2012
#> 3208: 40407868010690 56 3 45 2011 2 2011
#> 3209: 40407869010690 56 3 45 2013 2 2013
#> 3210: 46792188020004 56 1 29 2012 1 2012
#> RDDISTCD CONDID COND_NONSAMPLE_REASN_CD OWNCD OWNGRPCD RESERVCD SITECLCD
#> 1: NA 1 NA 46 40 0 NA
#> 2: 1 1 NA 46 40 0 7
#> 3: 6 1 NA 11 10 0 6
#> 4: NA 1 NA 22 20 0 NA
#> 5: NA 1 NA 46 40 0 NA
#> ---
#> 3206: NA 1 NA 46 40 0 NA
#> 3207: NA 1 NA 46 40 0 NA
#> 3208: NA 1 NA 12 10 0 NA
#> 3209: NA 1 NA 46 40 0 NA
#> 3210: 8 1 NA 11 10 1 6
#> STDORGCD ADFORCD LIVE_CANOPY_CVR_PCT COND_STATUS_CD NF_COND_STATUS_CD
#> 1: NA NA 0 2 NA
#> 2: 0 NA 17 1 NA
#> 3: 0 206 41 1 NA
#> 4: NA NA 0 2 NA
#> 5: NA NA 0 2 NA
#> ---
#> 3206: NA NA 0 2 NA
#> 3207: NA NA 0 2 NA
#> 3208: NA 206 1 2 NA
#> 3209: NA NA 0 2 NA
#> 3210: 0 214 48 1 NA
#> FORTYPCD STDSZCD STDAGE GSSTKCD DSTRBCD1 DSTRBYR1 DSTRBCD2 DSTRBYR2
#> 1: NA NA NA NA NA NA NA NA
#> 2: 366 1 46 5 0 NA 0 NA
#> 3: 201 1 220 3 0 NA 0 NA
#> 4: NA NA NA NA NA NA NA NA
#> 5: NA NA NA NA NA NA NA NA
#> ---
#> 3206: NA NA NA NA NA NA NA NA
#> 3207: NA NA NA NA NA NA NA NA
#> 3208: NA NA NA NA NA NA NA NA
#> 3209: NA NA NA NA NA NA NA NA
#> 3210: 201 1 109 3 0 NA 0 NA
#> FORTYPGRPCD TIMBERCD
#> 1: NA NA
#> 2: 360 2
#> 3: 200 1
#> 4: NA NA
#> 5: NA NA
#> ---
#> 3206: NA NA
#> 3207: NA NA
#> 3208: NA NA
#> 3209: NA NA
#> 3210: 200 1
#>
#> $cuniqueid
#> [1] "PLT_CN"
#>
#> $condid
#> [1] "CONDID"
#>
#> $ACI.filter
#> [1] "COND_STATUS_CD == 1"
#>
#> $unitarea
#> ESTN_UNIT ACRES
#> 1: 1 2757613
#> 2: 3 2021729
#> 3: 5 3072988
#> 4: 7 5096959
#> 5: 9 2729653
#> 6: 11 1837124
#> 7: 13 5930088
#> 8: 15 1428579
#> 9: 17 1283969
#> 10: 19 2671802
#> 11: 21 1720074
#> 12: 23 2616954
#> 13: 25 3440445
#> 14: 27 1681849
#> 15: 29 4459826
#> 16: 31 1350969
#> 17: 33 1617318
#> 18: 35 3158807
#> 19: 37 6714319
#> 20: 39 2701941
#> 21: 41 1336034
#> 22: 43 1435352
#> 23: 45 1536038
#> ESTN_UNIT ACRES
#>
#> $areavar
#> [1] "ACRES"
#>
#> $areaunits
#> [1] "acres"
#>
#> $unitvar
#> [1] "ESTN_UNIT"
#>
#> $unitvars
#> [1] "ESTN_UNIT"
#>
#> $unitlut
#> ESTN_UNIT STATECD COUNTYCD dem tcc tpi tnt2
#> 1: 1 56 1 2272.926 6.8530714 1.609176e-03 0.8264999
#> 2: 3 56 3 1647.743 7.9022732 -3.102019e-04 0.8487313
#> 3: 5 56 5 1367.107 2.4578633 6.003826e-04 0.9712791
#> 4: 7 56 7 2223.276 7.5236266 2.878460e-04 0.8371048
#> 5: 9 56 9 1653.929 3.4596989 -8.139182e-04 0.9143781
#> 6: 11 56 11 1300.595 13.3583927 -5.464502e-04 0.7278258
#> 7: 13 56 13 2143.260 6.3990155 -1.475728e-03 0.8390603
#> 8: 15 56 15 1413.315 1.3503086 2.232418e-04 0.9810094
#> 9: 17 56 17 1873.567 4.1191205 2.687428e-03 0.8347314
#> 10: 19 56 19 1695.213 9.4401841 8.285926e-04 0.8252693
#> 11: 21 56 21 1825.512 1.0998002 -2.754466e-04 0.9865623
#> 12: 23 56 23 2255.494 13.0094837 -4.589611e-04 0.7331014
#> 13: 25 56 25 1852.164 2.0670811 1.118535e-03 0.9522421
#> 14: 27 56 27 1380.878 0.9419578 5.522725e-04 0.9530363
#> 15: 29 56 29 2291.932 16.5713373 1.204469e-04 0.5766464
#> 16: 31 56 31 1572.269 3.3209321 -6.538782e-04 0.9248072
#> 17: 33 56 33 1570.581 14.7374346 3.234996e-04 0.7161021
#> 18: 35 56 35 2446.198 10.6072114 4.068747e-03 0.7608623
#> 19: 37 56 37 2091.513 0.8143151 3.665207e-05 0.9848022
#> 20: 39 56 39 2453.499 29.5642925 -5.082770e-04 0.3635238
#> 21: 41 56 41 2209.581 5.0478339 -1.207306e-03 0.8907651
#> 22: 43 56 43 1595.071 5.1797763 -2.165427e-03 0.8993017
#> 23: 45 56 45 1358.073 4.2119798 -1.588204e-03 0.8877382
#> ESTN_UNIT STATECD COUNTYCD dem tcc tpi tnt2
#> n.total
#> 1: 133
#> 2: 98
#> 3: 152
#> 4: 245
#> 5: 133
#> 6: 85
#> 7: 290
#> 8: 70
#> 9: 58
#> 10: 128
#> 11: 86
#> 12: 132
#> 13: 175
#> 14: 79
#> 15: 216
#> 16: 64
#> 17: 82
#> 18: 158
#> 19: 339
#> 20: 125
#> 21: 63
#> 22: 63
#> 23: 73
#> n.total
#>
#> $plotsampcnt
#> PLOT_STATUS_NM
#> 1 Sampled - at least one accessible forest land condition present on plot
#> 2 Sampled - no accessible forest land condition present on plot
#> PLOT_STATUS_CD NBRPLOT
#> 1 1 556
#> 2 2 2491
#>
#> $condsampcnt
#> COND_STATUS_NM COND_STATUS_CD NBRCOND
#> 1 Forest land 1 590
#> 2 Nonforest land 2 2590
#> 3 Noncensus water 3 10
#> 4 Census water 4 20
#> 5 Nonsampled 5 14
#>
#> $npixels
#> ESTN_UNIT npixels
#> 1: 1 1376714
#> 2: 3 1010229
#> 3: 5 1538394
#> 4: 7 2546066
#> 5: 9 1362852
#> 6: 11 915454
#> 7: 13 2961420
#> 8: 15 713352
#> 9: 17 641459
#> 10: 19 1334190
#> 11: 21 859967
#> 12: 23 1308662
#> 13: 25 1720554
#> 14: 27 841523
#> 15: 29 2228161
#> 16: 31 675011
#> 17: 33 807188
#> 18: 35 1577267
#> 19: 37 3355881
#> 20: 39 1349166
#> 21: 41 668120
#> 22: 43 717122
#> 23: 45 767376
#> ESTN_UNIT npixels
#>
#> $npixelvar
#> [1] "npixels"
#>
#> $states
#> [1] "Wyoming"
#>
#> $invyrs
#> $invyrs$Wyoming
#> [1] 2011 2012 2013
#>
#>
#> $estvar.area
#> [1] "CONDPROP_ADJ"
#>
#> $adj
#> [1] "plot"
#>
#> $treex
#> PLT_CN CONDID SUBP TREE STATUSCD SPCD SPGRPCD DIA HT TREECLCD
#> 1: 40404729010690 1 1 2 1 66 23 10.8 14 3
#> 2: 40404729010690 1 4 3 1 66 23 11.6 19 3
#> 3: 40404729010690 1 1 1 2 113 24 7.7 18 3
#> 4: 40404729010690 1 1 3 2 113 24 5.2 23 3
#> 5: 40404729010690 1 1 4 1 113 24 5.2 18 2
#> ---
#> 18376: 46792188020004 1 4 13 1 202 10 7.0 26 2
#> 18377: 46792188020004 1 4 14 2 202 10 11.4 53 3
#> 18378: 46792188020004 1 4 15 2 202 10 10.6 46 3
#> 18379: 46792188020004 1 4 16 2 202 10 6.3 41 3
#> 18380: 46792188020004 1 4 17 1 202 10 1.9 8 3
#> AGENTCD STANDING_DEAD_CD VOLCFNET VOLCFGRS VOLBFNET TPA_UNADJ
#> 1: NA NA 3.411463 3.411463 NA 6.018046
#> 2: NA NA 5.623683 5.797611 NA 6.018046
#> 3: 10 1 1.067166 1.940302 NA 6.018046
#> 4: 10 1 0.381894 0.694352 NA 6.018046
#> 5: NA NA 0.316063 0.316063 NA 6.018046
#> ---
#> 18376: NA NA 2.125580 2.125580 NA 6.018046
#> 18377: NA 1 15.149782 15.149782 NA 6.018046
#> 18378: NA 1 11.160959 11.160959 NA 6.018046
#> 18379: NA 1 2.945213 2.945213 NA 6.018046
#> 18380: NA NA NA NA NA 74.965282
#> DRYBIO_AG CARBON_AG BA TPROP_BASIS tadjfac
#> 1: 94.516629 47.258315 0.63615456 SUBP 1
#> 2: 155.807512 77.903756 0.73389024 SUBP 1
#> 3: 30.761698 15.380849 0.32336766 SUBP 1
#> 4: 11.305782 5.652891 0.14747616 SUBP 1
#> 5: 11.210763 5.605382 0.14747616 SUBP 1
#> ---
#> 18376: 88.388202 44.194101 0.26724600 SUBP 1
#> 18377: 305.250275 152.625138 0.70880184 SUBP 1
#> 18378: 225.732139 112.866070 0.61281144 SUBP 1
#> 18379: 61.586094 30.793047 0.21646926 SUBP 1
#> 18380: 5.065642 2.532821 0.01968894 MICR 1
#>
#> $tuniqueid
#> [1] "PLT_CN"
#>
#> $adjtree
#> [1] FALSE
#>
#> $seedx
#> PLT_CN SUBP CONDID SPCD SPGRPCD TPA_UNADJ TREECOUNT
#> 1: 40404729010690 2 1 113 24 74.96528 1
#> 2: 40404730010690 2 1 202 10 224.89585 3
#> 3: 40404738010690 2 1 746 44 2323.92376 31
#> 4: 40404738010690 4 1 19 12 74.96528 1
#> 5: 40404738010690 4 1 113 24 74.96528 1
#> ---
#> 1603: 40407815010690 1 1 313 47 224.89585 3
#> 1604: 40407831010690 1 1 122 11 4497.91695 60
#> 1605: 46792188020004 2 1 202 10 374.82641 5
#> 1606: 46792188020004 3 1 202 10 299.86113 4
#> 1607: 46792188020004 4 1 202 10 224.89585 3
#> TREECOUNT_CALC SEEDCNT6 SEEDSUBP6 tadjfac
#> 1: 1 1 0 1
#> 2: 3 3 0 1
#> 3: 31 6 1 1
#> 4: 1 1 0 1
#> 5: 1 1 0 1
#> ---
#> 1603: 3 3 0 2
#> 1604: 60 6 1 1
#> 1605: 5 5 0 1
#> 1606: 4 4 0 1
#> 1607: 3 3 0 1
#>
#> $prednames
#> [1] "dem" "tcc" "tpi" "tnt2"
#>
#> $predfac
#> [1] "tnt"
#>
# }