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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

VersionRepositoryFileSize
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

Dependencies (latest)

Imports