LAGOSNE
Interface to the LAke multi-scaled GeOSpatial & temporal database.
https://github.com/cont-limno/lagosne
Category: Hydrosphere
Sub Category: Freshwater and Hydrology
Keywords
cran ecology geoscience limnology rstats water-quality
Keywords from Contributors
lake estuary national-hydrography-dataset nhd water-resources carpentries data-carpentry english stable data-wrangling
Last synced: about 12 hours ago
JSON representation
Repository metadata
Interface to the LAke multi-scaled GeOSpatial & temporal database :earth_americas:
- Host: GitHub
- URL: https://github.com/cont-limno/lagosne
- Owner: cont-limno
- Created: 2016-09-21T15:37:29.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2025-11-27T16:13:42.000Z (29 days ago)
- Last Synced: 2025-12-07T16:45:51.945Z (19 days ago)
- Topics: cran, ecology, geoscience, limnology, rstats, water-quality
- Language: R
- Homepage: https://cont-limno.github.io/LAGOSNE/
- Size: 30.3 MB
- Stars: 15
- Watchers: 4
- Forks: 8
- Open Issues: 3
- Releases: 11
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
README.Rmd
---
output: github_document
editor_options:
chunk_output_type: console
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
```
[](https://www.repostatus.org/#active) [](https://github.com/cont-limno/LAGOSNE/actions/workflows/R-CMD-check.yml) [](https://cran.r-project.org/package=LAGOSNE) [](https://cran.r-project.org/package=LAGOSNE)
[](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065786) [](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638679) [](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065649) [](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065818) [](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638554)
# LAGOSNE
The `LAGOSNE` package provides an R interface to download LAGOS-NE data, store this data locally, and perform a variety of filtering and subsetting operations.
LAGOS-NE contains data for 51,101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2,600-12,000 lakes depending on the variable (see Soranno et al. 2017 [below](https://github.com/cont-limno/LAGOSNE#references)).
## Installation
```{r install,eval=FALSE}
# install stable version from CRAN
install.packages("LAGOSNE")
# install development version from Github
# install devtools if not found - install.packages("devtools")
# devtools::install_github("cont-limno/LAGOSNE", dependencies = TRUE)
```
### Data
The `lagosne_get` function downloads the LAGOSNE files corresponding to the specified version from the [EDI data repository](https://portal.edirepository.org/nis/home.jsp). Files are stored in a temporary directory before being "compiled" to an `R` data format in the location specified by the `dest_folder` argument. Recommended setting is `lagos_path()`. Data only needs to be downloaded one time per version per machine. Each `LAGOSNE` [module](https://cont-limno.github.io/LAGOSNE/articles/lagosne_structure.html) has a unique version number. However, only the limno module has been dynamically updated. Therefore the `LAGOSNE` `R` package uses the limno module version number to check-out specific datasets. **The latest version of the `LAGOSNE` dataset is `r LAGOSNE::lagosne_version()`.**
```{r get_data, eval=FALSE}
library(LAGOSNE)
lagosne_get(dest_folder = lagos_path())
```
## Usage
### Load Package
```{r load_library}
library(LAGOSNE)
```
### Load data
The `lagosne_load` function returns a named list of `data.frame` objects. Use the `names()` function to see a list of available data frames `names(dt)`.
```{r load_data, eval=FALSE}
dt <- lagosne_load()
names(dt)
```
```{r load_data_cached, eval=TRUE, echo=FALSE}
dt <- readRDS(system.file("lagos_test_subset.rds", package = "LAGOSNE"))
names(dt)
```
#### Locate tables containing a variable
```{r eval=FALSE}
query_lagos_names("secchi")
```
```{r echo=FALSE}
query_lagos_names("secchi", dt = dt)
```
#### Preview a table
```{r preview table}
head(dt$state)
```
#### Preview a specific lake
```{r lake_info, eval = FALSE}
lake_info(name = "Pine Lake", state = "Iowa")
# or using a lagoslakeid
# lake_info(lagoslakeid = 4389)
```
```{r lake_info_cached, echo = FALSE}
suppressWarnings(
lake_info(name = "Pine Lake", state = "Iowa", dt = dt)
)
```
#### Read table metadata
```{r load printr, echo=FALSE,message=FALSE,results='hide'}
loadNamespace("printr")
```
```{r Read metadata for individual tables}
help.search("datasets", package = "LAGOSNE")
```
```{r unload printr, echo=FALSE}
unloadNamespace("printr")
```
### Select data
`lagosne_select` is a convenience function whose primary purpose is to provide users with the ability to select subsets of LAGOS tables that correspond to specific keywords (see `LAGOSNE:::keyword_partial_key()` and `LAGOSNE:::keyword_full_key()`). See [here](http://adv-r.had.co.nz/Subsetting.html) for a comprehensive tutorial on generic `data.frame` subsetting.
```{r demo_select, eval=TRUE}
# specific variables
head(lagosne_select(table = "epi_nutr", vars = c("tp", "tn"), dt = dt))
head(lagosne_select(table = "iws.lulc", vars = c("iws_nlcd2011_pct_95"), dt = dt))
# categories
head(lagosne_select(table = "locus", categories = "id", dt = dt))
head(lagosne_select(table = "epi_nutr", categories = "waterquality", dt = dt))
head(lagosne_select(table = "hu4.chag", categories = "deposition", dt = dt)[,1:4])
# mix of specific variables and categories
head(lagosne_select(table = "epi_nutr", vars = "programname",
categories = c("id", "waterquality"), dt = dt))
```
## Published LAGOSNE subsets
```{r demo_pulling_other, eval = FALSE}
# Oliver et al. 2015
lagos_get_oliver_2015()
head(lagos_load_oliver_2015())
# Collins et al. 2017
lagos_get_collins_2017()
head(lagos_load_collins_2017())
```
## Legacy Versions
### R Package
To install versions of `LAGOSNE` compatible with older versions of LAGOS-NE run the following command where `ref` is set to the desired version (in the example, it is version 1.087.1):
```{r eval=FALSE}
# install devtools if not found
# install.packages("devtools")
devtools::install_github("cont-limno/LAGOSNE", ref = "v1.087.1")
```
## References
Oliver, SK, PA Soranno, CE Fergus, T Wagner, K Webster, CE Scott, LA Winslow, J Downing, and EH Stanley. 2015. “LAGOS - Predicted and Observed Maximum Depth Values for Lakes in a 17-State Region of the U.S.” https://dx.doi.org/10.6073/pasta/edc06bbae6db80e801b6e52253f2ea09.
Soranno, P.A., Bacon, L.C., Beauchene, M., Bednar, K.E., Bissell, E.G., Boudreau, C.K., Boyer, M.G., Bremigan, M.T., Carpenter, S.R., Carr, J.W. Cheruvelil, K.S., and ... , 2017. LAGOS-NE: A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes. GigaScience, https://doi.org/10.1093/gigascience/gix101
Soranno, PA, EG Bissell, KS Cheruvelil, ST Christel, SM Collins, CE Fergus, CT Filstrup, et al. 2015. “Building a Multi-Scaled Geospatial Temporal Ecology Database from Disparate Data Sources: Fostering Open Science and Data Reuse.” Gigascience 4 (1). https://dx.doi.org/10.1186/s13742-015-0067-4.
Stachelek J., Oliver S. 2017. LAGOSNE: Interface to the Lake Multi-scaled Geospatial and Temporal Database. R package version 1.1.0. https://cran.r-project.org/package=LAGOSNE
Soranno P, Cheruvelil K. 2017. LAGOS-NE-LOCUS v1.01: a module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925–2013. Environmental Data Initiative. https://doi.org/10.6073/PASTA/0C23A789232AB4F92107E26F70A7D8EF
Soranno P, Cheruvelil K. 2019. LAGOS-NE-LIMNO v1.087.3: a module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925–2013. Environmental Data Initiative. https://doi.org/10.6073/PASTA/08C6F9311929F4874B01BCC64EB3B2D7.
Soranno P, Cheruvelil K. 2017. LAGOS-NE-GEO v1.05: a module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925–2013. Environmental Data Initiative. https://doi.org/10.6073/PASTA/16F4BDAA9607C845C0B261A580730A7A
Owner metadata
- Name: Continental Limnology
- Login: cont-limno
- Email:
- Kind: organization
- Description: NSF funded interdisciplinary project-- A macrosystems ecology framework for continental-scale prediction and understanding of lakes.
- Website: https://lagoslakes.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/24610902?v=4
- Repositories: 23
- Last ynced at: 2023-08-13T03:50:15.512Z
- Profile URL: https://github.com/cont-limno
GitHub Events
Total
- Push event: 11
Last Year
- Push event: 11
Committers metadata
Last synced: 2 days ago
Total Commits: 641
Total Committers: 7
Avg Commits per committer: 91.571
Development Distribution Score (DDS): 0.551
Commits in past year: 23
Committers in past year: 1
Avg Commits per committer in past year: 23.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| jsta | j****k@u****u | 288 |
| jsta | s****2@m****u | 269 |
| limnoliver | s****r@w****u | 74 |
| Jeff Hollister | j****r@g****m | 6 |
| Patricia A. Soranno | s****o@a****u | 2 |
| boudre32 | 3****2 | 1 |
| Fisheries FWL Wildlife | F****e | 1 |
Committer domains:
- anr.msu.edu: 1
- wisc.edu: 1
- msu.edu: 1
- utexas.edu: 1
Issue and Pull Request metadata
Last synced: about 1 month ago
Total issues: 111
Total pull requests: 5
Average time to close issues: 3 months
Average time to close pull requests: 2 days
Total issue authors: 8
Total pull request authors: 3
Average comments per issue: 1.3
Average comments per pull request: 1.0
Merged pull request: 5
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: 10 days
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- jsta (94)
- limnoliver (8)
- jhollist (3)
- christophebenjamin (2)
- soranno (1)
- lawinslow (1)
- mfa54 (1)
- KateriSalk (1)
Top Pull Request Authors
- jhollist (3)
- limnoliver (1)
- boudre32 (1)
Top Issue Labels
- for next version (9)
- High priority (9)
- Low Priority (5)
- bug (3)
- Pending more info (1)
Top Pull Request Labels
Package metadata
- Total packages: 3
-
Total downloads:
- cran: 1,340 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 1 (may contain duplicates)
- Total versions: 20
- Total maintainers: 1
proxy.golang.org: github.com/cont-limno/lagosne
- Homepage:
- Documentation: https://pkg.go.dev/github.com/cont-limno/lagosne#section-documentation
- Licenses:
- Latest release: v2.0.4+incompatible (published 29 days ago)
- Last Synced: 2025-12-22T20:09:16.979Z (4 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.401%
- Average: 5.583%
- Dependent repos count: 5.764%
proxy.golang.org: github.com/cont-limno/LAGOSNE
- Homepage:
- Documentation: https://pkg.go.dev/github.com/cont-limno/LAGOSNE#section-documentation
- Licenses:
- Latest release: v2.0.4+incompatible (published 29 days ago)
- Last Synced: 2025-12-22T20:09:17.025Z (4 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.401%
- Average: 5.583%
- Dependent repos count: 5.764%
cran.r-project.org: LAGOSNE
Interface to the Lake Multi-Scaled Geospatial and Temporal Database
- Homepage: https://github.com/cont-limno/LAGOSNE
- Documentation: http://cran.r-project.org/web/packages/LAGOSNE/LAGOSNE.pdf
- Licenses: GPL-2 | GPL-3 [expanded from: GPL]
- Latest release: 2.0.4 (published 29 days ago)
- Last Synced: 2025-12-22T20:09:15.415Z (4 days ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 1,340 Last month
-
Rankings:
- Forks count: 8.766%
- Stargazers count: 14.648%
- Average: 21.714%
- Dependent repos count: 24.291%
- Dependent packages count: 27.846%
- Downloads: 33.02%
- Maintainers (1)
Dependencies
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- R.rsp * suggests
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Score: 12.038198224483105