The biological and statistical communities already support a number of excellent tools, such as Program MARK,GenAlEx, and SOCPROG for use in analyzing wildlife data. Wildbook is a complementary software application that:
- provides a scalable and collaborative platform for intelligent wildlife data storage and management, including advanced, consolidated searching
- provides an easy-to-use software suite of functionality that can be extended to meet the needs of wildlife projects, especially where individual identification is used
- provides an API to support the easy export of data to cross-disciplinary analysis applications (e.g., GenePop ) and other software (e.g., Google Earth)
- provides a platform for animal biometrics that supports easy data access and facilitates matching application deployment for multiple species
Wildbook started as a collaborative software platform for globally-coordinated whale shark (Rhincodon typus ) research as deployed in the Wildbook for Whale Sharks. After many requests to use our software outside of whale shark research, it is now an open source, community-maintained standard for mark-recapture studies.
- SPLASH Catalog for humpback whales (Megaptera novaeangliae)
- Wildbook for Whale Sharks for whale sharks (Rhincodon typus)
- University of Manitoba Polar Bear Library for polar bears (Ursus maritimus)
- MantaMatcher for manta rays (Manta birostris and Manta alfredi)
- Strandings of Oceania for cetacean strandings in the South Pacific
- Flukebook for multiple species of cetaceans
Jason Holmberg is the Information Architect for Wildbook. Jon Van Oast is the new primary software developer, bringing a wealth of programming experience to the project.
Dr. Scott Baker of Oregon State University designed the DNA-related components within the software and remains an active adviser on the project.
We are happy to give demos of the software via webinars. We also have a demo site here:
Please email “jason [at] whaleshark [dot] org” to receive access credentials for the demo site, which refreshes itself periodically, allowing you to run real world tests of Wildbook.
We are pleased to announce a complete visual redesign and new version of Wildbook: v5.4!
New features and fixes:
- NEW: Modify emailing system to support: HTML template, localization, project-specific overrides
- MOD: Prevent spurious future date submissions
- NEW: Password reset
- FIX: Remove keyword from all media before deleting Keyword object
- FIX: Reset measurement values did not work
- NEW: OAuth sign in (Facebook, FLickr, etc.)
- NEW: OAuth image upload from social media (Flickr, Facebook, etc.)
- NEW: Spot matching client performance improvement under the Amazon EC2 grid
- NEW: Componentization of Encounter Search Analysis for reuse as an embeddedable component
- Embed on My Account page for user-specific details (done)
- FIX: Fixed bug preventing backup of deleted encounters, and improved reporting in event of failure.
- NEW: HTML5 responsive design!
- NEW: typeahead in the search bar for Individual IDs and Location IDs
Wildbook is getting a fancy, new responsive design! Check out the first site to use it in the upcoming Wildbook 5.4 version: MantaMatcher
We are pleased to release Wildbook 5.3.0 with the following new fixes and features!
- FIX: Encounter Search title on haplotype map
- FIX: Biological samples not showing in encounter.jsp and individuals.jsp
- NEW: Better stream closing on EXIF data loading for images
- NEW: Significant performance improvement in image thumbnail display in Encounter Search
- NEW: Add assigned user filter to Individual Search and set alpha sort order
- FIX: Encounters menu did not expand on mobile devices
- NEW: Spot mapping is now performed in the browser!
- NEW: Support context-based data access through REST data interface
We released Wildbook 5.2.0 today with the following changes:
- NEW: Upgrade to DataNucleus 4.0.3
- FIX: Encounter.dateInMilliseconds off by one hour for Encounters with no date specified, shifting their position in search results back one day
- FIX: Minor map display zoom and bad data filtering improvements
- FIX: UUID switch broke reference image comparison in Encounter Search
- MOD: Improved support to handle valuable but poorly formatted Dates in EncounterForm
- FIX: Individual new/previous sighting bar chart in Individual Search showing inconsistent values
- FIX: Date-based search results had variable behavior with results who days exceeded month boundaries
- FIX: UpdateEmailAddress threw an NPE after a bad merge
- NEW: 20% speed improvement in Individual Search mapping through gzip compression of GeoJSON results
- MOD: Allow for null values in Encounter.dateInMilliseconds
- NEW: Encounter Search filter by date submitted (not date of actual sighting)
- NEW: Encounter Search Analysis tab: new charts and metrics
- Bar chart of encounter totals by year submitted
- Bar chart of total encounters by submission year
- Pie chart of Encounters by workflow state
- Additional calculated values (#submitters, # represented marked individuals, etc.)
- NEW: Encounter Search filter by strings in the Encounter additional comments
- NEW: REST interface improvements - Part 1 - add new read-only /api REST URL with capability for custom behavior hooks
- NEW: Convert JSP-based UI to HTML5 and REST/JSON - Part 1
- NEW: Convert individuals.jsp Encounter list for a marked individual to a sortable table
- FIX: L10N ongoing cleanup of untranslated stragglers
Happy 2015! Wildbook 5.2 is up on whaleshark.org for testing. All of the code is done, and much of it has already been tested in a production environment. We should have a full release in less than a week!
Past development work for Wildbook has been supported by:
Wildbook is designed to produce successful, reproducible collaborations between biologists, biostatisticians, computer scientists, and citizen scientists by providing a Web-based software platform for collaboration.
If you answer yes to any of these questions, Wildbook may be a very good choice for your research.
- Are you trying to track individual animals in a wildlife population using natural markings or genetic identifiers?
- Are you collecting biological samples from a wildlife population and performing genetic or chemical analyses (e.g., stable isotope measurements, haplotype determination, etc.)?
- Are you looking to increase wildlife data collection through citizen science?
- Are you looking to build a collaborative, distributed research network for a species?
- Are you looking to develop a new animal biometrics solution (e.g., pattern matching from photos) for one or more species?
- Are you collecting behavioral and/or social data for a wildlife study population?
Using the web-based interface of Wildbook Framework, a research team can:
Encounters (a.k.a. “captures” or “sightings”)
- Record an encounter (individual animal at a point in time and location) through a standardized data collection form
- Search a database of standardized encounter data using predefined search criteria
- Receive automated email updates when encounter reports are assigned to new or previously identified marked individuals
- Receive RSS feeds of encounter identifications as they are made
- View all reported encounters
- View individual encounter reports
- View thumbnail catalogs of submitted images
- View adopters of individual encounters (a fundraising tool)
- Edit encounter data with all changes tracked and permanently logged
- Assign encounters to new or existing marked individuals
- Set a list of additional email addresses to be notified with status and sighting updates for submitted encounters
- View an on-line calendar of whale shark encounter reports
- Restore accidentally deleted encounters
- For species with marked individuals identified by unique spot patterning:
- Extract spot patterning from photographs and scan for matches across all patterns in library using two approaches to pattern recognition (I3S and Modified Groth).
- Share computing power among globally distributed machines.
- View pattern match reports and evaluate matches side-by-side, including direct spot remapping and statistical analysis of results.
- Record physical, acoustic, and satellite tag data deployed during an encounter
- Record tissue samples collected with an encounter
- Record the results of genetic sex, haplotype, microsatellite marker, stable isotope, and contaminant analyses performed on a tissue sample
- View all marked individuals
- View consolidated capture and sampling history of marked individuals
- Receive automated email updates when a marked individual is re-sighted
- Search a global database of marked individuals using predefined search criteria
- View consolidated mapping of sighting locations an individual
- View co-occurrence for the individual with other individual (e.g., social grouping)
- Define common photo keywords for your species (e.g. scarring types)
- Add/remove keywords to encounter photos
- Search across photographs using assigned keywords
- Search all images\video using encounter data to create customized albums of images
- View photo metadata (e.g. EXIF data)
- Search all encounters and marked individual data using Google Search (when deployed as a web server)
- Assign alternate identifiers to encounters and marked individuals
- View sighting locations with satellite imagery incorporated from Google Maps (encounters, amrked individuals, and Encounter Search results)
- Export sighting data as a KML file or an Excel spreadsheet for use in Google Earth and other mapping applications (Encounter Search).
- Create and edit animal adoptions for project fundraising.
- Review access security logs and track the source of individual logins.
- Use a variety of relational and non-relational database types to store data. The full list of supported databases in available from the DataNucleus web site (our middleware).
The framework is open source and meant for you to extend it for your specific project! If it doesn't have the feature you need, use some simple Java programming and create it. Some things we have used it to do on whaleshark.org are:
- Quickly generate open and closed capture history files for population modeling in statistical packages, such as U-CARE, CloseTest, and Program MARK
- Generate statistical reports
- Rely on spam filters to block spurious data submission
The development of additional functionality is currently underway.
You can help move Wildbook forward by making a donation! Your donation is tax deductible in the United States.
Please send feedback to jason at whaleshark dot org. Your ideas to improve Wildbook are most welcome!
Wildbook started as the software behind the Wildbook for Whale Sharks, which is a multiuser, web-based, research application for studying whale sharks (Rhincodon typus). The aim of WIldbook for Whale Sharks is to prevent individual “silos” of whale shark data and to promote a global, cooperative approach to whale shark research using the Web as a communications and research platform. The Library went on-line and began collecting whale shark encounter data from the web in January 2003. In early 2004, the pattern-recognition system that allows the Library to distinguish between individual whale sharks using natural spot patterning was integrated. Since its first line of code, this Wildbook has seen continuous feature additions, bug fixes, and performance enhancements. Our work to maintain and enhance the Library is ongoing and requires knowledge of Java, J2EE, JDO, PHP , Flash/Flex, HTML , XML , RSS , a wee bit of Python, and CSS .
The following publications have resulted from Wildbook-related work:
The following publications have influenced our design and development of Wildbook:
- Hochachka WM, Fink D, Hutchinson RA, Sheldon D, Wong W-K, Kelling S. Data-intensive science applied to broad-scale citizen science. Trends Ecol Evol. 2012 Feb. 1;27(2):130. 137.
- Michener WK, Jones MB. Ecoinformatics: supporting ecology as a data-intensive science. Trends Ecol Evol. 2012 Jan.;27(2).
- Schwarz, C. J. (2009). Migration and movement – the next stage. Pages 325-350 in Modeling Demographic Processes in Marked Populations Series: Environmental and Ecological Statistics , Vol. 3. Thomson, David L.;Cooch, Evan G.; Conroy, Michael J. (Eds.). Springer, New York.
- Williams BK, Nichols JD, Conroy MJ (2002) Analysis and management of animal populations. Academic Press, San Diego, CA.
- White GC, Burnham KP (1999) Program MARK: Survival estimation from populations of marked animals. Bird Study 46:120. 138.
- Whitehead, H. Analyzing Animal Societies: Quantitative Methods for Vertebrate Social Analysis (University of Chicago Press, 2008).
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