obm
Interface to 'OpenBioMaps' Data and Services
Provides access to selected functions and data available through any 'OpenBioMaps' <https://openbiomaps.org> server instance. 'OpenBioMaps' is an open-source biodiversity data management platform designed for conservation professionals and researchers. User authentication and access control are handled through 'OpenBioMaps' login credentials.
README
# obm.r
R package for connecting and retreive data from OpenBioMaps servers
For shiny data exploration, see the OBM Insight R-Shiny app: http://computation.openbiomaps.org
## install from github
library("devtools")
install_github('OpenBioMaps/obm.r')
## load library
library(obm)
## usage examples
### initialize connection to dead_animals database on openbiomaps.org. If the database is registered in openbiomaps.org it might be works without the url param
obm_init('dead_animals')
### initialize connection to dead_animals database on a specified server
obm_init('dead_animals','https://somewhere.something')
### initialize connection without parameters
obm_init()
### authenticating without parameters
obm_auth()
### query a range of data from the main table. Returns obm_class
data <- obm_get('get_data','39980:39988')
### query all data from the main table. Returns obm_class
data <- obm_get('get_data','*')
### query all data from an additional data table. Returns obm_class
data <- obm_get('get_data','*',table='buildings')
### query data based on column filter. Returns obm_class
data <- obm_get('get_data','filter=species=Parus palustris')
### get avilable forms
form_list <- obm_get('get_form_list')
### get form data
form_data <- obm_get('get_form_data',73)
### offline form fill - THIS FUNCTION IS NOT READY
obm_form_fill(form_data)
### upload data
obm_put(...)
#### upload tracklog recorded with the mobile app
trl <- '{"trackLogId":"...","trackLogArray":[{...}], ... }'
res <- obm_put(scope="tracklog", tracklog=trl)
### perform stored query
#### the `last` label points an SQL query which stored on the server. These queries connected with the users.
#### The users can create and save custom queries with custom labels.
obm_get('get_report','last')
### Create datatable using a csv file
#### creates an sql file which can be used in the obm web interface for creating a new table, or add several new columns to an existing table
create_table(file='foo.csv',[data=, sep=',' , quote="'", create-table=F, project=F, table='']
Example:
create_table(file='database_example_rows.csv',quote='"',table='butterfly')
### repository function
#### If the OBM project has a repository connection, the following function will be available
#### Create dataverse, dataset, add files to dataset
#### Get info about dataverses, datasets, files
#### Publish datasets
#### Delete files, datasets, dataverse
obm_repo('get|put',params=list())
### Capture-recapture data processing
library(obm)
mark_transform(file='Urhanya2017.csv')
...answer questions...
look for output files in you working folder:
```
-rw-r--r-- 1 banm banm 1157626 febr 8 19.11 Urhanya2017.csv
-rw-r--r-- 1 banm banm 16733 febr 8 19.15 errors.txt
-rw-r--r-- 1 banm banm 90986 febr 8 19.15 nau_results.csv
-rw-r--r-- 1 banm banm 29187 febr 8 19.15 nau_input.inp
-rw-r--r-- 1 banm banm 80159 febr 8 19.15 tel_results.csv
-rw-r--r-- 1 banm banm 25645 febr 8 19.15 tel_input.inp
```
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
rolling linux/noble R-4.5 | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
rolling source/ R- | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
latest linux/jammy R-4.5 | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
latest linux/noble R-4.5 | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
latest source/ R- | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
2026-04-26 source/ R- | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
2026-04-23 source/ R- | obm_2.0.tar.gz |
24.9 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | obm_2.0.zip |
104.5 KiB |