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README.md
In fgeo.x: Access Small ForestGEO Datasets For Examples
Small ForestGEO datasets for examples
Access small example datasets from
Luquillo, a
ForestGEO site in Puerto Rico.
Installation
Install the latest stable version of fgeo.x from CRAN with:
install.packages("fgeo.x")
Install the development version of fgeo.x from GitHub with:
# install.packages("devtools")
devtools::install_github("forestgeo/fgeo.x")
Or install all fgeo packages in one
step.
Example
library(fgeo.x)
Some datasets available in fgeo.x:
str(elevation)
#> List of 4
#> $ col :Classes 'tbl_df', 'tbl' and 'data.frame': 6565 obs. of 3 variables:
#> ..$ x : int [1:6565] 0 0 0 0 0 0 0 0 0 0 ...
#> ..$ y : int [1:6565] 0 5 10 15 20 25 30 35 40 45 ...
#> ..$ elev: num [1:6565] 364 364 363 363 363 ...
#> $ mat : num [1:101, 1:65] 364 364 363 363 363 ...
#> $ xdim: int 320
#> $ ydim: int 500
str(habitat)
#> Classes 'fgeo_habitat', 'tbl_df', 'tbl' and 'data.frame': 400 obs. of 3 variables:
#> $ gx : num 0 0 0 0 0 0 0 0 0 0 ...
#> $ gy : num 0 20 40 60 80 100 120 140 160 180 ...
#> $ habitats: int 1 1 1 1 1 1 1 1 1 1 ...
str(tree5)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 30 obs. of 19 variables:
#> $ treeID : int 7624 8055 19930 23746 31702 35355 35891 39705 50184 57380 ...
#> $ stemID : int 160987 10036 117849 29677 39793 44026 44634 48888 60798 155867 ...
#> $ tag : chr "108958" "109482" "123493" "14473" ...
#> $ StemTag : chr "175325" "109482" "165576" "14473" ...
#> $ sp : chr "TRIPAL" "CECSCH" "CASARB" "PREMON" ...
#> $ quadrat : chr "722" "522" "425" "617" ...
#> $ gx : num 138.7 94.8 61.3 100.3 53.8 ...
#> $ gy : num 425.3 424.4 495.7 328 73.8 ...
#> $ MeasureID: int 486675 468874 471979 442571 447307 449169 434266 451067 437645 459427 ...
#> $ CensusID : int 5 5 5 5 5 5 5 5 5 5 ...
#> $ dbh : num 10.9 165 23.6 170 67 50 269 67 240 16.6 ...
#> $ pom : chr "1.3" "1.3" "1.3" "1.3" ...
#> $ hom : num 1.3 1.3 1.3 1.32 1.37 1.4 1.26 1.5 1.3 1.3 ...
#> $ ExactDate: Date, format: "2012-02-01" "2012-01-30" ...
#> $ DFstatus : chr "alive" "alive" "alive" "alive" ...
#> $ codes : chr "SPROUT;A" "MAIN;A" "SPROUT;A" "MAIN;A" ...
#> $ nostems : num 2 1 2 1 1 1 1 5 1 3 ...
#> $ status : chr "A" "A" "A" "A" ...
#> $ date : num 19024 19022 19051 18967 18821 ...
str(stem5)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 30 obs. of 19 variables:
#> $ treeID : int 4832 9689 23686 23903 24526 24978 25534 30954 32644 34407 ...
#> $ stemID : int 5905 12178 29616 29911 30750 31380 32193 38949 40902 42945 ...
#> $ tag : chr "10554" "111528" "14406" "14637" ...
#> $ StemTag : chr "10554" "111528" "14406" "14637" ...
#> $ sp : chr "MANBID" "CORBOR" "PREMON" "PREMON" ...
#> $ quadrat : chr "212" "1524" "417" "1017" ...
#> $ gx : num 30.8 289 69 193.7 194.2 ...
#> $ gy : num 235 465 335 334 359 ...
#> $ MeasureID: int 440357 469305 442528 442708 443140 443418 435148 446883 447786 435787 ...
#> $ CensusID : int 5 5 5 5 5 5 5 5 5 5 ...
#> $ dbh : num 148 NA 154 195 360 185 328 15.7 60 124 ...
#> $ pom : chr "1.5" NA "1.3" "1.2" ...
#> $ hom : num 1.48 NA 1.3 1.2 1.4 1.4 1.5 1.3 1.29 1.35 ...
#> $ ExactDate: Date, format: "2011-09-30" "2012-02-17" ...
#> $ DFstatus : chr "alive" "stem dead" "alive" "alive" ...
#> $ codes : chr "MAIN;A" "MAIN;A;LS;DP;ST" "MAIN;A" "MAIN;A" ...
#> $ countPOM : num 1 1 1 1 1 1 1 1 1 1 ...
#> $ status : chr "A" "G" "A" "A" ...
#> $ date : num 18900 19040 18966 19010 19009 ...
str(vft_4quad)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 500 obs. of 32 variables:
#> $ DBHID : int 480614 467103 466804 388646 481054 388453 411794 411798 411761 388160 ...
#> $ PlotName : chr "luquillo" "luquillo" "luquillo" "luquillo" ...
#> $ PlotID : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ Family : chr "Fabaceae-mimosoideae" "Salicaceae" "Meliaceae" "Salicaceae" ...
#> $ Genus : chr "Inga" "Casearia" "Guarea" "Casearia" ...
#> $ SpeciesName : chr "laurina" "sylvestris" "guidonia" "arborea" ...
#> $ Mnemonic : chr "INGLAU" "CASSYL" "GUAGUI" "CASARB" ...
#> $ Subspecies : chr NA NA NA NA ...
#> $ SpeciesID : int 128 73 117 70 70 185 184 117 184 70 ...
#> $ SubspeciesID : chr NA NA NA NA ...
#> $ QuadratName : chr "721" "621" "721" "622" ...
#> $ QuadratID : int 327 326 327 342 343 342 343 343 342 343 ...
#> $ PX : num 126 115 127 110 126 ...
#> $ PY : num 413 405 412 431 420 ...
#> $ QX : num 5.75 14.59 6.64 9.9 5.66 ...
#> $ QY : num 13.1 4.9 11.9 10.7 0.5 ...
#> $ TreeID : int 108604 2092 871 8811 109474 8475 109467 109471 109438 7843 ...
#> $ Tag : chr "154809" "102365" "100975" "110415" ...
#> $ StemID : int 143326 2555 114203 11057 144288 115993 144281 144285 144248 115875 ...
#> $ StemNumber : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ StemTag : int 154809 102365 154808 110415 156286 156210 156268 156281 156223 156272 ...
#> $ PrimaryStem : chr NA NA NA NA ...
#> $ CensusID : int 5 5 5 4 5 4 4 4 4 4 ...
#> $ PlotCensusNumber: int 5 5 5 4 5 4 4 4 4 4 ...
#> $ DBH : num 30.8 74 22.3 NA 33.8 NA NA 16.5 NA 44.6 ...
#> $ HOM : num 1.3 1.3 1.3 NA 1.3 NA NA 1.3 NA 1.3 ...
#> $ ExactDate : Date, format: "2012-01-31" "2012-01-30" ...
#> $ Date : int 19023 19022 19023 17122 19024 17125 17126 17126 17125 17126 ...
#> $ ListOfTSM : chr "MAIN;A" "MAIN;A" "SPROUT;A" "MAIN;A;LS;B" ...
#> $ HighHOM : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ LargeStem : chr NA NA NA NA ...
#> $ Status : chr "alive" "alive" "alive" "broken below" ...
Some other datasets that install with fgeo.x:
example_path()
#> [1] "csv" "mixed_files" "rdata" "rdata_one"
#> [5] "rds" "taxa.csv" "tsv" "vft_4quad.csv"
#> [9] "view" "weird" "xl"
dir(example_path("view"))
#> [1] "taxa.csv" "vft_4quad.csv"
str(read.csv(example_path("vft_4quad.csv")))
#> 'data.frame': 500 obs. of 32 variables:
#> $ DBHID : int 385164 385261 384600 608789 388579 384626 410958 385102 353163 481018 ...
#> $ PlotName : Factor w/ 1 level "luquillo": 1 1 1 1 1 1 1 1 1 1 ...
#> $ PlotID : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ Family : Factor w/ 20 levels "Araliaceae","Arecaceae",..: 17 20 17 17 2 1 17 15 2 19 ...
#> $ Genus : Factor w/ 30 levels "Alchornea","Alchorneopsis",..: 25 6 25 25 24 27 25 23 24 5 ...
#> $ SpeciesName : Factor w/ 36 levels " hirsuta","acuminata",..: 9 29 9 7 2 23 9 14 2 4 ...
#> $ Mnemonic : Factor w/ 37 levels "ALCFLO","ALCLAT",..: 32 7 32 31 30 34 32 28 30 5 ...
#> $ Subspecies : logi NA NA NA NA NA NA ...
#> $ SpeciesID : int 185 74 185 184 182 196 185 174 182 70 ...
#> $ SubspeciesID : logi NA NA NA NA NA NA ...
#> $ QuadratName : int 621 621 721 621 622 721 721 621 722 622 ...
#> $ QuadratID : int 326 326 327 326 342 327 327 326 343 342 ...
#> $ PX : num 119 109 133 117 113 ...
#> $ PY : num 414 411 416 412 424 ...
#> $ QX : num 19 9.4 12.9 16.6 12.6 ...
#> $ QY : num 13.64 10.52 15.9 11.58 3.62 ...
#> $ TreeID : int 1990 2177 797 124957 84880 862 108712 1848 26708 109413 ...
#> $ Tag : int 102244 102466 100889 175166 110271 100964 154949 102088 17576 156180 ...
#> $ StemID : int 2419 114525 981 163153 103483 1068 143443 2248 33769 144222 ...
#> $ StemNumber : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ StemTag : int 102244 154442 100888 175166 110271 100964 154949 102088 17576 156180 ...
#> $ PrimaryStem : logi NA NA NA NA NA NA ...
#> $ CensusID : int 4 4 4 6 4 4 4 4 4 5 ...
#> $ PlotCensusNumber: int 4 4 4 6 4 4 4 4 4 5 ...
#> $ DBH : num NA NA NA 34.6 171 NA NA NA 163 36.2 ...
#> $ HOM : num NA NA NA 1.3 1.3 NA NA NA 1.35 1.3 ...
#> $ ExactDate : Factor w/ 14 levels "2006-11-16","2006-11-17",..: 2 2 4 10 2 4 5 1 3 7 ...
#> $ Date : int 17122 17122 17126 20662 17122 17126 17127 17121 17125 19023 ...
#> $ ListOfTSM : Factor w/ 16 levels "MAIN;A","MAIN;A;C",..: 8 14 14 1 1 8 8 8 1 1 ...
#> $ HighHOM : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ LargeStem : logi NA NA NA NA NA NA ...
#> $ Status : Factor w/ 4 levels "alive","broken below",..: 3 4 4 1 1 3 3 3 1 1 ...
Download data from
fgeo.data:
str(download_data("luquillo_stem6_random"))
#> Classes 'tbl_df', 'tbl' and 'data.frame': 1320 obs. of 19 variables:
#> $ treeID : int 104 119 180 180 180 180 602 631 647 1086 ...
#> $ stemID : int 143 158 222 223 224 225 736 775 793 1339 ...
#> $ tag : chr "10009" "100104" "100171" "100171" ...
#> $ StemTag : chr "10009" "100104" "100095" "100096" ...
#> $ sp : chr "DACEXC" "MYRSPL" "CASARB" "CASARB" ...
#> $ quadrat : chr "113" "1021" "921" "921" ...
#> $ gx : num 10.3 182.9 164.6 164.6 164.6 ...
#> $ gy : num 245 410 410 410 410 ...
#> $ MeasureID: int 582850 578696 NA NA 617046 617049 614253 598429 614211 603131 ...
#> $ CensusID : int 6 6 NA NA 6 6 6 6 6 6 ...
#> $ dbh : num 195 44.9 NA NA NA 46.1 33.1 139 248 176 ...
#> $ pom : chr "1.45" "1.25" NA NA ...
#> $ hom : num 1.45 1.26 NA NA NA 1.34 1.3 1.25 1.35 1.42 ...
#> $ ExactDate: Date, format: "2016-04-20" "2016-08-04" ...
#> $ DFstatus : chr "alive" "alive" NA NA ...
#> $ codes : chr "MAIN;A" "MAIN;A" NA NA ...
#> $ countPOM : num 1 1 NA NA 1 1 1 1 1 1 ...
#> $ status : chr "A" "A" "G" "G" ...
#> $ date : num 20564 20670 NA NA 20670 ...
Information
Try the fgeo.x package in your browser
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fgeo.x documentation built on June 8, 2019, 1:04 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Small ForestGEO datasets for examples
Access small example datasets from Luquillo, a ForestGEO site in Puerto Rico.
Installation
Install the latest stable version of fgeo.x from CRAN with:
install.packages("fgeo.x")
Install the development version of fgeo.x from GitHub with:
# install.packages("devtools")
devtools::install_github("forestgeo/fgeo.x")
Or install all fgeo packages in one step.
Example
library(fgeo.x)
Some datasets available in fgeo.x:
str(elevation)
#> List of 4
#> $ col :Classes 'tbl_df', 'tbl' and 'data.frame': 6565 obs. of 3 variables:
#> ..$ x : int [1:6565] 0 0 0 0 0 0 0 0 0 0 ...
#> ..$ y : int [1:6565] 0 5 10 15 20 25 30 35 40 45 ...
#> ..$ elev: num [1:6565] 364 364 363 363 363 ...
#> $ mat : num [1:101, 1:65] 364 364 363 363 363 ...
#> $ xdim: int 320
#> $ ydim: int 500
str(habitat)
#> Classes 'fgeo_habitat', 'tbl_df', 'tbl' and 'data.frame': 400 obs. of 3 variables:
#> $ gx : num 0 0 0 0 0 0 0 0 0 0 ...
#> $ gy : num 0 20 40 60 80 100 120 140 160 180 ...
#> $ habitats: int 1 1 1 1 1 1 1 1 1 1 ...
str(tree5)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 30 obs. of 19 variables:
#> $ treeID : int 7624 8055 19930 23746 31702 35355 35891 39705 50184 57380 ...
#> $ stemID : int 160987 10036 117849 29677 39793 44026 44634 48888 60798 155867 ...
#> $ tag : chr "108958" "109482" "123493" "14473" ...
#> $ StemTag : chr "175325" "109482" "165576" "14473" ...
#> $ sp : chr "TRIPAL" "CECSCH" "CASARB" "PREMON" ...
#> $ quadrat : chr "722" "522" "425" "617" ...
#> $ gx : num 138.7 94.8 61.3 100.3 53.8 ...
#> $ gy : num 425.3 424.4 495.7 328 73.8 ...
#> $ MeasureID: int 486675 468874 471979 442571 447307 449169 434266 451067 437645 459427 ...
#> $ CensusID : int 5 5 5 5 5 5 5 5 5 5 ...
#> $ dbh : num 10.9 165 23.6 170 67 50 269 67 240 16.6 ...
#> $ pom : chr "1.3" "1.3" "1.3" "1.3" ...
#> $ hom : num 1.3 1.3 1.3 1.32 1.37 1.4 1.26 1.5 1.3 1.3 ...
#> $ ExactDate: Date, format: "2012-02-01" "2012-01-30" ...
#> $ DFstatus : chr "alive" "alive" "alive" "alive" ...
#> $ codes : chr "SPROUT;A" "MAIN;A" "SPROUT;A" "MAIN;A" ...
#> $ nostems : num 2 1 2 1 1 1 1 5 1 3 ...
#> $ status : chr "A" "A" "A" "A" ...
#> $ date : num 19024 19022 19051 18967 18821 ...
str(stem5)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 30 obs. of 19 variables:
#> $ treeID : int 4832 9689 23686 23903 24526 24978 25534 30954 32644 34407 ...
#> $ stemID : int 5905 12178 29616 29911 30750 31380 32193 38949 40902 42945 ...
#> $ tag : chr "10554" "111528" "14406" "14637" ...
#> $ StemTag : chr "10554" "111528" "14406" "14637" ...
#> $ sp : chr "MANBID" "CORBOR" "PREMON" "PREMON" ...
#> $ quadrat : chr "212" "1524" "417" "1017" ...
#> $ gx : num 30.8 289 69 193.7 194.2 ...
#> $ gy : num 235 465 335 334 359 ...
#> $ MeasureID: int 440357 469305 442528 442708 443140 443418 435148 446883 447786 435787 ...
#> $ CensusID : int 5 5 5 5 5 5 5 5 5 5 ...
#> $ dbh : num 148 NA 154 195 360 185 328 15.7 60 124 ...
#> $ pom : chr "1.5" NA "1.3" "1.2" ...
#> $ hom : num 1.48 NA 1.3 1.2 1.4 1.4 1.5 1.3 1.29 1.35 ...
#> $ ExactDate: Date, format: "2011-09-30" "2012-02-17" ...
#> $ DFstatus : chr "alive" "stem dead" "alive" "alive" ...
#> $ codes : chr "MAIN;A" "MAIN;A;LS;DP;ST" "MAIN;A" "MAIN;A" ...
#> $ countPOM : num 1 1 1 1 1 1 1 1 1 1 ...
#> $ status : chr "A" "G" "A" "A" ...
#> $ date : num 18900 19040 18966 19010 19009 ...
str(vft_4quad)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 500 obs. of 32 variables:
#> $ DBHID : int 480614 467103 466804 388646 481054 388453 411794 411798 411761 388160 ...
#> $ PlotName : chr "luquillo" "luquillo" "luquillo" "luquillo" ...
#> $ PlotID : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ Family : chr "Fabaceae-mimosoideae" "Salicaceae" "Meliaceae" "Salicaceae" ...
#> $ Genus : chr "Inga" "Casearia" "Guarea" "Casearia" ...
#> $ SpeciesName : chr "laurina" "sylvestris" "guidonia" "arborea" ...
#> $ Mnemonic : chr "INGLAU" "CASSYL" "GUAGUI" "CASARB" ...
#> $ Subspecies : chr NA NA NA NA ...
#> $ SpeciesID : int 128 73 117 70 70 185 184 117 184 70 ...
#> $ SubspeciesID : chr NA NA NA NA ...
#> $ QuadratName : chr "721" "621" "721" "622" ...
#> $ QuadratID : int 327 326 327 342 343 342 343 343 342 343 ...
#> $ PX : num 126 115 127 110 126 ...
#> $ PY : num 413 405 412 431 420 ...
#> $ QX : num 5.75 14.59 6.64 9.9 5.66 ...
#> $ QY : num 13.1 4.9 11.9 10.7 0.5 ...
#> $ TreeID : int 108604 2092 871 8811 109474 8475 109467 109471 109438 7843 ...
#> $ Tag : chr "154809" "102365" "100975" "110415" ...
#> $ StemID : int 143326 2555 114203 11057 144288 115993 144281 144285 144248 115875 ...
#> $ StemNumber : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ StemTag : int 154809 102365 154808 110415 156286 156210 156268 156281 156223 156272 ...
#> $ PrimaryStem : chr NA NA NA NA ...
#> $ CensusID : int 5 5 5 4 5 4 4 4 4 4 ...
#> $ PlotCensusNumber: int 5 5 5 4 5 4 4 4 4 4 ...
#> $ DBH : num 30.8 74 22.3 NA 33.8 NA NA 16.5 NA 44.6 ...
#> $ HOM : num 1.3 1.3 1.3 NA 1.3 NA NA 1.3 NA 1.3 ...
#> $ ExactDate : Date, format: "2012-01-31" "2012-01-30" ...
#> $ Date : int 19023 19022 19023 17122 19024 17125 17126 17126 17125 17126 ...
#> $ ListOfTSM : chr "MAIN;A" "MAIN;A" "SPROUT;A" "MAIN;A;LS;B" ...
#> $ HighHOM : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ LargeStem : chr NA NA NA NA ...
#> $ Status : chr "alive" "alive" "alive" "broken below" ...
Some other datasets that install with fgeo.x:
example_path()
#> [1] "csv" "mixed_files" "rdata" "rdata_one"
#> [5] "rds" "taxa.csv" "tsv" "vft_4quad.csv"
#> [9] "view" "weird" "xl"
dir(example_path("view"))
#> [1] "taxa.csv" "vft_4quad.csv"
str(read.csv(example_path("vft_4quad.csv")))
#> 'data.frame': 500 obs. of 32 variables:
#> $ DBHID : int 385164 385261 384600 608789 388579 384626 410958 385102 353163 481018 ...
#> $ PlotName : Factor w/ 1 level "luquillo": 1 1 1 1 1 1 1 1 1 1 ...
#> $ PlotID : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ Family : Factor w/ 20 levels "Araliaceae","Arecaceae",..: 17 20 17 17 2 1 17 15 2 19 ...
#> $ Genus : Factor w/ 30 levels "Alchornea","Alchorneopsis",..: 25 6 25 25 24 27 25 23 24 5 ...
#> $ SpeciesName : Factor w/ 36 levels " hirsuta","acuminata",..: 9 29 9 7 2 23 9 14 2 4 ...
#> $ Mnemonic : Factor w/ 37 levels "ALCFLO","ALCLAT",..: 32 7 32 31 30 34 32 28 30 5 ...
#> $ Subspecies : logi NA NA NA NA NA NA ...
#> $ SpeciesID : int 185 74 185 184 182 196 185 174 182 70 ...
#> $ SubspeciesID : logi NA NA NA NA NA NA ...
#> $ QuadratName : int 621 621 721 621 622 721 721 621 722 622 ...
#> $ QuadratID : int 326 326 327 326 342 327 327 326 343 342 ...
#> $ PX : num 119 109 133 117 113 ...
#> $ PY : num 414 411 416 412 424 ...
#> $ QX : num 19 9.4 12.9 16.6 12.6 ...
#> $ QY : num 13.64 10.52 15.9 11.58 3.62 ...
#> $ TreeID : int 1990 2177 797 124957 84880 862 108712 1848 26708 109413 ...
#> $ Tag : int 102244 102466 100889 175166 110271 100964 154949 102088 17576 156180 ...
#> $ StemID : int 2419 114525 981 163153 103483 1068 143443 2248 33769 144222 ...
#> $ StemNumber : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ StemTag : int 102244 154442 100888 175166 110271 100964 154949 102088 17576 156180 ...
#> $ PrimaryStem : logi NA NA NA NA NA NA ...
#> $ CensusID : int 4 4 4 6 4 4 4 4 4 5 ...
#> $ PlotCensusNumber: int 4 4 4 6 4 4 4 4 4 5 ...
#> $ DBH : num NA NA NA 34.6 171 NA NA NA 163 36.2 ...
#> $ HOM : num NA NA NA 1.3 1.3 NA NA NA 1.35 1.3 ...
#> $ ExactDate : Factor w/ 14 levels "2006-11-16","2006-11-17",..: 2 2 4 10 2 4 5 1 3 7 ...
#> $ Date : int 17122 17122 17126 20662 17122 17126 17127 17121 17125 19023 ...
#> $ ListOfTSM : Factor w/ 16 levels "MAIN;A","MAIN;A;C",..: 8 14 14 1 1 8 8 8 1 1 ...
#> $ HighHOM : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ LargeStem : logi NA NA NA NA NA NA ...
#> $ Status : Factor w/ 4 levels "alive","broken below",..: 3 4 4 1 1 3 3 3 1 1 ...
Download data from fgeo.data:
str(download_data("luquillo_stem6_random"))
#> Classes 'tbl_df', 'tbl' and 'data.frame': 1320 obs. of 19 variables:
#> $ treeID : int 104 119 180 180 180 180 602 631 647 1086 ...
#> $ stemID : int 143 158 222 223 224 225 736 775 793 1339 ...
#> $ tag : chr "10009" "100104" "100171" "100171" ...
#> $ StemTag : chr "10009" "100104" "100095" "100096" ...
#> $ sp : chr "DACEXC" "MYRSPL" "CASARB" "CASARB" ...
#> $ quadrat : chr "113" "1021" "921" "921" ...
#> $ gx : num 10.3 182.9 164.6 164.6 164.6 ...
#> $ gy : num 245 410 410 410 410 ...
#> $ MeasureID: int 582850 578696 NA NA 617046 617049 614253 598429 614211 603131 ...
#> $ CensusID : int 6 6 NA NA 6 6 6 6 6 6 ...
#> $ dbh : num 195 44.9 NA NA NA 46.1 33.1 139 248 176 ...
#> $ pom : chr "1.45" "1.25" NA NA ...
#> $ hom : num 1.45 1.26 NA NA NA 1.34 1.3 1.25 1.35 1.42 ...
#> $ ExactDate: Date, format: "2016-04-20" "2016-08-04" ...
#> $ DFstatus : chr "alive" "alive" NA NA ...
#> $ codes : chr "MAIN;A" "MAIN;A" NA NA ...
#> $ countPOM : num 1 1 NA NA 1 1 1 1 1 1 ...
#> $ status : chr "A" "A" "G" "G" ...
#> $ date : num 20564 20670 NA NA 20670 ...
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