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updated travis to lang:r with gdal install, and added coveralls, upda…
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…ted readme with coveralls badge
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@sckott
sckott committed Mar 2, 2015
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21 changes: 12 additions & 9 deletions .travis.yml
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@@ -1,15 +1,18 @@
language: c
script: "./travis-tool.sh run_tests"
before_script:
- curl -OL http://raw.github.com/craigcitro/r-travis/master/scripts/travis-tool.sh
- chmod 755 ./travis-tool.sh
- sudo apt-get update -qq
- sudo apt-get install -y gdal-bin libgdal-dev libgdal1-dev libproj-dev libgdal1h
- "./travis-tool.sh bootstrap"
- "./travis-tool.sh install_deps"
language: r

r_binary_packages:
- rgdal

r_github_packages:
- jimhester/covr

after_success:
- Rscript -e 'library(covr); coveralls()'

notifications:
slack:
secure: fee+yd3SW53ASTFm0ZH3/HKD7wUn1zJL+LHbwJErIMhAemo2FcNaLDGF5TXLuVCSMMnIE+rc8c8NEH0Mf+Jw4+EiZEfEsbu4Ai5xxx81jCJV3sCRAQZG+Tpes+zR3rnxxs7LyM9EcVGf/ypMCLREdAM1rluNrbAe14DZI0b4pjw=

env:
global:
secure: cgAtrSgJVgVNr3+6D4pg4R3rA4Nb0n2rmlHzqVaC/8EvkTGbUZ5qQxc5SFaYAAwm02UQQUodgztzhgAe4BYi4YIdzb4sYh+YbBgug1MABGKY4IDswanvYqA3IAcjiwbHVYpYiQgl/nt/qqQXoD0d29XRQXN0puf+Aw6Y7uMQIyA=
3 changes: 2 additions & 1 deletion README.Rmd
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Expand Up @@ -15,6 +15,7 @@ knitr::opts_chunk$set(

[![Build Status](https://api.travis-ci.org/ropensci/rnoaa.png)](https://travis-ci.org/ropensci/rnoaa)
[![Build status](https://ci.appveyor.com/api/projects/status/8daqtllo2sg6me07/branch/master)](https://ci.appveyor.com/project/sckott/rnoaa/branch/master)
[![Coverage Status](https://coveralls.io/repos/ropensci/rnoaa/badge.svg)](https://coveralls.io/r/ropensci/rnoaa)

## IMPORTANT - BUOY DATA

Expand Down Expand Up @@ -252,7 +253,7 @@ erddap_search(query='size', which = "grid")
Then you can get information on a single dataset

```{r erddap_info}
erddap_info('hawaii_3b41_0c0b_72bc')
erddap_info('whoi_7dd7_db97_4bbe')
```

__griddap data__
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115 changes: 70 additions & 45 deletions README.md
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Expand Up @@ -5,6 +5,7 @@ rnoaa

[![Build Status](https://api.travis-ci.org/ropensci/rnoaa.png)](https://travis-ci.org/ropensci/rnoaa)
[![Build status](https://ci.appveyor.com/api/projects/status/8daqtllo2sg6me07/branch/master)](https://ci.appveyor.com/project/sckott/rnoaa/branch/master)
[![Coverage Status](https://coveralls.io/repos/ropensci/rnoaa/badge.svg)](https://coveralls.io/r/ropensci/rnoaa)

## IMPORTANT - BUOY DATA

Expand Down Expand Up @@ -171,30 +172,30 @@ ncdc_locs(locationcategoryid='CITY', sortfield='name', sortorder='desc')
#> $data
#> id name datacoverage mindate maxdate
#> 1 CITY:NL000012 Zwolle, NL 1.0000 1892-08-01 2015-01-31
#> 2 CITY:SZ000007 Zurich, SZ 1.0000 1901-01-01 2015-02-17
#> 2 CITY:SZ000007 Zurich, SZ 1.0000 1901-01-01 2015-02-27
#> 3 CITY:NG000004 Zinder, NG 0.8678 1906-01-01 1980-12-31
#> 4 CITY:UP000025 Zhytomyra, UP 0.9730 1938-01-01 2015-02-17
#> 5 CITY:KZ000017 Zhezkazgan, KZ 0.9290 1948-03-01 2015-02-17
#> 6 CITY:CH000045 Zhengzhou, CH 1.0000 1951-01-01 2015-02-17
#> 4 CITY:UP000025 Zhytomyra, UP 0.9730 1938-01-01 2015-02-27
#> 5 CITY:KZ000017 Zhezkazgan, KZ 0.9290 1948-03-01 2015-02-27
#> 6 CITY:CH000045 Zhengzhou, CH 1.0000 1951-01-01 2015-02-27
#> 7 CITY:SP000021 Zaragoza, SP 1.0000 1941-01-01 2014-12-22
#> 8 CITY:UP000024 Zaporiyhzhya, UP 0.9739 1936-01-01 2009-06-16
#> 9 CITY:US390029 Zanesville, OH US 1.0000 1893-01-01 2015-02-19
#> 9 CITY:US390029 Zanesville, OH US 1.0000 1893-01-01 2015-02-28
#> 10 CITY:LE000004 Zahle, LE 0.7811 1912-01-01 1971-12-31
#> 11 CITY:IR000019 Zahedan, IR 0.9930 1951-01-01 2010-05-19
#> 12 CITY:HR000002 Zagreb, HR 1.0000 1860-12-01 2013-12-31
#> 13 CITY:RS000081 Yuzhno-Sakhalinsk, RS 1.0000 1947-01-01 2015-02-17
#> 14 CITY:US040015 Yuma, AZ US 1.0000 1893-01-01 2015-02-19
#> 15 CITY:US060048 Yucca Valley, CA US 1.0000 1942-02-01 2015-02-19
#> 16 CITY:US060047 Yuba City, CA US 1.0000 1893-01-01 2015-02-19
#> 17 CITY:US390028 Youngstown, OH US 1.0000 1893-01-01 2015-02-19
#> 18 CITY:US420024 York, PA US 1.0000 1941-01-01 2015-02-19
#> 19 CITY:US360031 Yonkers, NY US 1.0000 1876-01-01 2015-02-19
#> 20 CITY:JA000017 Yokohama, JA 1.0000 1949-01-01 2015-02-17
#> 21 CITY:CH000044 Yinchuan, CH 1.0000 1951-01-01 2015-02-17
#> 22 CITY:AM000001 Yerevan, AM 0.9751 1885-06-01 2015-02-17
#> 23 CITY:US280020 Yazoo City, MS US 1.0000 1948-01-01 2015-02-19
#> 13 CITY:RS000081 Yuzhno-Sakhalinsk, RS 1.0000 1947-01-01 2015-02-27
#> 14 CITY:US040015 Yuma, AZ US 1.0000 1893-01-01 2015-02-28
#> 15 CITY:US060048 Yucca Valley, CA US 1.0000 1942-02-01 2015-02-28
#> 16 CITY:US060047 Yuba City, CA US 1.0000 1893-01-01 2015-02-28
#> 17 CITY:US390028 Youngstown, OH US 1.0000 1893-01-01 2015-03-01
#> 18 CITY:US420024 York, PA US 1.0000 1941-01-01 2015-02-28
#> 19 CITY:US360031 Yonkers, NY US 1.0000 1876-01-01 2015-03-01
#> 20 CITY:JA000017 Yokohama, JA 1.0000 1949-01-01 2015-02-27
#> 21 CITY:CH000044 Yinchuan, CH 1.0000 1951-01-01 2015-02-27
#> 22 CITY:AM000001 Yerevan, AM 0.9751 1885-06-01 2015-02-27
#> 23 CITY:US280020 Yazoo City, MS US 1.0000 1948-01-01 2015-02-28
#> 24 CITY:RS000080 Yaroslavl, RS 0.9850 1959-07-01 1987-05-20
#> 25 CITY:US460009 Yankton, SD US 1.0000 1932-01-01 2015-02-19
#> 25 CITY:US460009 Yankton, SD US 1.0000 1932-01-01 2015-03-01
#>
#> attr(,"class")
#> [1] "ncdc_locs"
Expand All @@ -212,7 +213,7 @@ ncdc_stations(datasetid='GHCND', locationid='FIPS:12017', stationid='GHCND:USC00
#> id elevation name elevationUnit
#> 1 GHCND:USC00084289 12.2 INVERNESS 3 SE, FL US METERS
#> datacoverage longitude mindate latitude maxdate
#> 1 1 -82.3126 1899-02-01 28.8029 2015-02-17
#> 1 1 -82.3126 1899-02-01 28.8029 2015-02-28
#>
#> attr(,"class")
#> [1] "ncdc_stations"
Expand Down Expand Up @@ -294,10 +295,10 @@ ncdc_datasets()
#> 11 gov.noaa.ncdc:C00313 PRECIP_HLY Precipitation Hourly 1.00
#> mindate maxdate
#> 1 1831-02-01 2014-07-01
#> 2 1763-01-01 2015-02-19
#> 2 1763-01-01 2015-03-01
#> 3 1763-01-01 2015-01-01
#> 4 1991-06-05 2015-02-19
#> 5 1994-05-20 2015-02-16
#> 4 1991-06-05 2015-02-27
#> 5 1994-05-20 2015-02-25
#> 6 2010-01-01 2010-01-01
#> 7 2010-01-01 2010-12-31
#> 8 2010-01-01 2010-12-31
Expand Down Expand Up @@ -606,28 +607,28 @@ First, you likely want to search for data, specify either `griddadp` or `tableda
erddap_search(query='size', which = "table")
#> 11 results, showing first 20
#> title
#> 1 Channel Islands, Kelp Forest Monitoring, Size and Frequency, Natural Habitat
#> 2 CalCOFI Fish Sizes
#> 3 CalCOFI Larvae Sizes
#> 5 NWFSC Observer Fixed Gear Data, off West Coast of US, 2002-2006
#> 6 NWFSC Observer Trawl Data, off West Coast of US, 2002-2006
#> 7 OBIS - ARGOS Satellite Tracking of Animals
#> 8 GLOBEC NEP MOCNESS Plankton (MOC1) Data
#> 9 GLOBEC NEP Vertical Plankton Tow (VPT) Data
#> 10 CalCOFI Larvae Counts Positive Tows
#> 11 CalCOFI Tows
#> 1 CalCOFI Fish Sizes
#> 2 CalCOFI Larvae Sizes
#> 3 Channel Islands, Kelp Forest Monitoring, Size and Frequency, Natural Habitat
#> 4 OBIS - ARGOS Satellite Tracking of Animals
#> 5 GLOBEC NEP MOCNESS Plankton (MOC1) Data
#> 6 GLOBEC NEP Vertical Plankton Tow (VPT) Data
#> 7 NWFSC Observer Fixed Gear Data, off West Coast of US, 2002-2006
#> 8 NWFSC Observer Trawl Data, off West Coast of US, 2002-2006
#> 9 CalCOFI Larvae Counts Positive Tows
#> 10 CalCOFI Tows
#> 12 AN EXPERIMENTAL DATASET: Underway Sea Surface Temperature and Salinity Aboard the Oleander
#> dataset_id
#> 1 erdCinpKfmSFNH
#> 2 erdCalCOFIfshsiz
#> 3 erdCalCOFIlrvsiz
#> 5 nwioosObsFixed2002
#> 6 nwioosObsTrawl2002
#> 7 aadcArgos
#> 8 erdGlobecMoc1
#> 9 erdGlobecVpt
#> 10 erdCalCOFIlrvcntpos
#> 11 erdCalCOFItows
#> 1 erdCalCOFIfshsiz
#> 2 erdCalCOFIlrvsiz
#> 3 erdCinpKfmSFNH
#> 4 aadcArgos
#> 5 erdGlobecMoc1
#> 6 erdGlobecVpt
#> 7 nwioosObsFixed2002
#> 8 nwioosObsTrawl2002
#> 9 erdCalCOFIlrvcntpos
#> 10 erdCalCOFItows
#> 12 nodcPJJU
```

Expand All @@ -636,14 +637,14 @@ erddap_search(query='size', which = "table")
erddap_search(query='size', which = "grid")
#> 6 results, showing first 20
#> title
#> 4 NOAA Global Coral Bleaching Monitoring Products
#> 11 NOAA Global Coral Bleaching Monitoring Products
#> 13 Coawst 4 use, Best Time Series [time][eta_rho][xi_rho]
#> 14 Coawst 4 use, Best Time Series [time][eta_u][xi_u]
#> 15 Coawst 4 use, Best Time Series [time][eta_v][xi_v]
#> 16 Coawst 4 use, Best Time Series [time][s_rho][eta_rho][xi_rho]
#> 17 Coawst 4 use, Best Time Series [time][Nbed][eta_rho][xi_rho]
#> dataset_id
#> 4 NOAA_DHW
#> 11 NOAA_DHW
#> 13 whoi_ed12_89ce_9592
#> 14 whoi_61c3_0b5d_cd61
#> 15 whoi_62d0_9d64_c8ff
Expand All @@ -655,8 +656,32 @@ Then you can get information on a single dataset


```r
erddap_info('hawaii_3b41_0c0b_72bc')
#> Error in erddap_GET(url = sprintf(paste0(eurl(), "info/%s/index.json"), : client error: (404) Not Found
erddap_info('whoi_7dd7_db97_4bbe')
#> <ERDDAP Dataset> whoi_7dd7_db97_4bbe
#> Dimensions (range):
#> time: (2012-06-25T01:00:00Z, 2015-03-02T00:00:00Z)
#> s_rho: (-0.96875, -0.03125)
#> eta_rho: (0, 335)
#> xi_rho: (0, 895)
#> Variables:
#> rho:
#> Units: kilogram meter-3
#> salt:
#> Units: 0.001
#> sand_01:
#> Units: kilogram meter-3
#> sand_02:
#> Units: kilogram meter-3
#> sand_03:
#> Units: kilogram meter-3
#> sand_04:
#> Units: kilogram meter-3
#> sand_05:
#> Units: kilogram meter-3
#> sand_06:
#> Units: kilogram meter-3
#> temp:
#> Units: Celsius
```

__griddap data__
Expand Down

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