The goal of arce00 is to read e00 files or convert them to a form that sf or sp can read. While these package can read e00 files, the read operation is too slow to be practical on some platforms. This package ports the AVCE library to R for efficient conversion to a binary coverage (for which sf/sp read operations are efficient).
Installation
You can install the development version from GitHub with:
# install.packages("remotes") remotes::install_github("paleolimbot/arce00")
The arce00 package contains compiled code, so you will need to have build tools (e.g., Rtools) installed.
Example
This is a basic example which shows you how to solve a common problem:
library(arce00) e00 <- system.file("e00/cis_20170911.e00", package = "arce00") e00_read_sf(e00) #> Simple feature collection with 87 features and 67 fields #> geometry type: POLYGON #> dimension: XY #> bbox: xmin: 39656.16 ymin: 1165135 xmax: 2687056 ymax: 3743606 #> projected CRS: unnamed #> # A tibble: 87 x 68 #> AREA PERIMETER ARCE00_COV. ARCE00_COV.ID A_LEGEND REGION DATE_CARTE SOURCE #> <dbl> <dbl> <int> <int> <chr> <chr> <chr> <chr> #> 1 8.85e11 31235633. 2 2 Bergy w~ HB 20170911 "" #> 2 1.48e 8 94500. 3 3 Land HB 20170911 "" #> 3 2.24e11 14482767. 4 4 Land HB 20170911 "" #> 4 1.27e 8 53164. 5 5 Land HB 20170911 "" #> 5 1.44e 8 87332. 6 6 Land HB 20170911 "" #> 6 1.10e 8 71738. 7 7 Land HB 20170911 "" #> 7 1.32e 8 110787. 8 8 Land HB 20170911 "" #> 8 8.32e 7 78102. 9 9 Land HB 20170911 "" #> 9 8.66e10 2431778. 10 10 Ice free HB 20170911 "" #> 10 4.18e 7 26337. 11 11 Land HB 20170911 "" #> # ... with 77 more rows, and 60 more variables: MOD <chr>, EGG_ID <int>, #> # PNT_TYPE <int>, EGG_NAME <chr>, EGG_SCALE <int>, EGG_ATTR <chr>, #> # USER_ATTR <chr>, ROTATION <int>, E_CT <chr>, E_CA <chr>, E_CB <chr>, #> # E_CC <chr>, E_CD <chr>, E_SO <chr>, E_SA <chr>, E_SB <chr>, E_SC <chr>, #> # E_SD <chr>, E_SE <chr>, E_FA <chr>, E_FB <chr>, E_FC <chr>, E_FD <chr>, #> # E_FE <chr>, E_CS <chr>, R_CT <chr>, R_CMY <chr>, R_CSY <chr>, R_CFY <chr>, #> # R_CGW <chr>, R_CG <chr>, R_CN <chr>, R_PMY <chr>, R_PSY <chr>, R_PFY <chr>, #> # R_PGW <chr>, R_PG <chr>, R_PN <chr>, R_CS <chr>, R_SMY <chr>, R_SSY <chr>, #> # R_SFY <chr>, R_SGW <chr>, R_SG <chr>, R_SN <chr>, N_CT <chr>, N_COI <chr>, #> # N_CMY <chr>, N_CSY <chr>, N_CFY <chr>, N_CFY_TK <chr>, N_CFY_M <chr>, #> # N_CFY_TN <chr>, N_CYI <chr>, N_CGW <chr>, N_CG <chr>, N_CN <chr>, #> # N_CB <chr>, ArcIds <list>, geometry <POLYGON [m]>
You can also use e00_layers() to list layer information and e00_readOGR() to read to sp. These functions generate temporary binary coverages under the hood and delete them afterward: to do this conversion yourself, use e00_convert():
cov <- e00_temp_coverage() coverage <- e00_convert(e00, cov) sf::read_sf(coverage, layer = "LAB") #> Simple feature collection with 87 features and 68 fields #> geometry type: POINT #> dimension: XY #> bbox: xmin: 349288.1 ymin: 1577259 xmax: 2581513 ymax: 3557555 #> projected CRS: unnamed #> # A tibble: 87 x 69 #> ValueId PolyId AREA PERIMETER ARCE00_COV. ARCE00_COV.ID A_LEGEND REGION #> <int> <int> <dbl> <dbl> <int> <int> <chr> <chr> #> 1 2 2 8.85e11 31235633. 2 2 Bergy w~ HB #> 2 3 3 1.48e 8 94500. 3 3 Land HB #> 3 4 4 2.24e11 14482767. 4 4 Land HB #> 4 5 5 1.27e 8 53164. 5 5 Land HB #> 5 6 6 1.44e 8 87332. 6 6 Land HB #> 6 7 7 1.10e 8 71738. 7 7 Land HB #> 7 8 8 1.32e 8 110787. 8 8 Land HB #> 8 9 9 8.32e 7 78102. 9 9 Land HB #> 9 10 10 8.66e10 2431778. 10 10 Ice free HB #> 10 11 11 4.18e 7 26337. 11 11 Land HB #> # ... with 77 more rows, and 61 more variables: DATE_CARTE <chr>, SOURCE <chr>, #> # MOD <chr>, EGG_ID <int>, PNT_TYPE <int>, EGG_NAME <chr>, EGG_SCALE <int>, #> # EGG_ATTR <chr>, USER_ATTR <chr>, ROTATION <int>, E_CT <chr>, E_CA <chr>, #> # E_CB <chr>, E_CC <chr>, E_CD <chr>, E_SO <chr>, E_SA <chr>, E_SB <chr>, #> # E_SC <chr>, E_SD <chr>, E_SE <chr>, E_FA <chr>, E_FB <chr>, E_FC <chr>, #> # E_FD <chr>, E_FE <chr>, E_CS <chr>, R_CT <chr>, R_CMY <chr>, R_CSY <chr>, #> # R_CFY <chr>, R_CGW <chr>, R_CG <chr>, R_CN <chr>, R_PMY <chr>, R_PSY <chr>, #> # R_PFY <chr>, R_PGW <chr>, R_PG <chr>, R_PN <chr>, R_CS <chr>, R_SMY <chr>, #> # R_SSY <chr>, R_SFY <chr>, R_SGW <chr>, R_SG <chr>, R_SN <chr>, N_CT <chr>, #> # N_COI <chr>, N_CMY <chr>, N_CSY <chr>, N_CFY <chr>, N_CFY_TK <chr>, #> # N_CFY_M <chr>, N_CFY_TN <chr>, N_CYI <chr>, N_CGW <chr>, N_CG <chr>, #> # N_CN <chr>, N_CB <chr>, geometry <POINT [m]>
