Basic Georeferencing Process Data Input o Data Correction o Manual or file based data entry Coordinate Generation o Locality description parsing and analysis Coordinate Adjustment o Fine tuning the results on a visual map display Error Determination o Assigning a maximum possible extent for a given locality description
Coordinate Generation Pipeline Navigable Waterway Query & Analysis TRS Query & Analysis Placenames Query & Analysis Highway Name and Water body Name Query & Analysis Water Body Query & Snapping Standardize Locality String
Overview: Locality Visualization & Adjustment Computed coordinates are displayed on digital maps Manual verification of each record Drag and drop correction of records
Caused by duplicate names, multiple names & multiple displacements Results are ranked and most accurate result is recorded and used as primary result All results are recorded and displayed as red arrows Working on using specimen data to limit spread of results Overview: Multiple Result Handling
Eagle Lake, Warren County, Mississippi, USA When a point just isnt good enough…
Polygons within GEOLocate Represented as a comma delimited array of vertices using latitude and longitude User-defined maximum extent described as a polygon that a given locality description can represent Next release will support auto- detection and generation of polygons
Multilingual Georeferencing 3 millas al norte de Madrid Extensible architecture for adding languages via language libraries Language libraries are text files that define various locality types in a given language Current support for: o Spanish o Basque o Catalan o Galician May also be used to define custom locality types in English (example- adding alternative unit representations)
Taxonomic Footprint Validation Taxa collected for a given locality Uses point occurrence data from distributed museum databases to validate georeferenced data Species A Species B
Lepomis macrochirus Notropis chrosomus Notropis volucellus Micropterus coosae Lepomiscyanellus Lepomis cyanellus Cottus carolinae Hypentelium etowanum Etheostoma ramseyi Footprint for specimens collected at Little Schultz Creek, off Co. Rd. 26 (Schultz Spring Road), approx. 5 mi N of Centreville; Bibb County; White circles indicate results from automated georeferencing. Black circle indicates actual collection locality based on GPS. This sample was conducted using data from UAIC & TUMNH www.museum.tulane.edu/taxonfootprint
Collaborative Georeferencing Distributed community effort increases efficiency. CoGe is a web-based portal/client for managing multiple georeferencing communities each with multiple members. DiGIR /.CSV used for data input (other alternatives in development). Similar records from various institutions can be matched and georeferenced simultaneously. Georeferenced data can be returned to providers via portal (download as a comma delimited file). CoGe is entirely web-service based; can be plugged into any digitization workflow (e.g., TCN data management systems).
Collaborative Georeferencing DiGIR Service Record Processor CoGe Client Application (Desktop or Web) Cache Update Web Service CoGe Web Portal Application Data Store Georeferencing Web Service Data Retrieval Web Service Insert Correction Web Service Remote Data Source
Users register for access with options for different levels of authority and privacy.
A Locality records automatically georeferenced as they enter the data store. System monitors progress of result verification/correction. Collaborative aspect and record similarity matching maximizes efficiency of correction process.