georeferencing workshop university of the western cape cape town, south africa 04-08 feb 2011

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Georeferencing Workshop University of the Western Cape Cape Town, South Africa 04-08 Feb 2011 Slide 2 GEOLocate Automated Georeferencing Software & services for georeferencing of natural history collections data Initially funded in 2002 locality description analysis coordinate generation batch processing geographic visualization data correction error determination collaborative georeferencing interoperable multilingual kml export google, bing, openstreet, wms soap & rest api Slide 3 Slide 4 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 Slide 5 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 Slide 6 Overview: Locality Visualization & Adjustment Computed coordinates are displayed on digital maps Manual verification of each record Drag and drop correction of records Slide 7 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 Slide 8 Example Slide 9 Eagle Lake, Warren County, Mississippi, USA When a point just isnt good enough Slide 10 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 Slide 11 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) Slide 12 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 Slide 13 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 Slide 14 Slide 15 -27.02033 32.302492 Barbus paludinosus Mesobola brevianalis Slide 16 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). Slide 17 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 Slide 18 Users register for access with options for different levels of authority and privacy. Slide 19 View Existing Communities Slide 20 Create New Communities Slide 21 Manage Community Data Sources Shows data sources within Nelsons test community, number of records and pace of correction of records. Slide 22 Add new data sources via DiGIR or.CSV files Four Steps (Step 1) Enter URL of DiGIR provider then click Probe. Slide 23 Add new data source (Step 2) Select data source you would like to add then click add Slide 24 Add new data source (Step 3) Resolve conflicts in data schema. Map them to default schema before source data added. Slide 25 Add new data source (Step 4) Verify new concept mapping and approve it. Slide 26 Update cache Slide 27 Complete update Sync records Alert data provider of data inconsistencies 1 possible duplicate record was skipped and emailed to data provider. Option to keep or drop records from cache. Slide 28 Save updated cache Slide 29 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. Slide 30 View cache Slide 31 Invite New Users to Join Community Slide 32 Invite Sent Slide 33 Invite Received Slide 34 Adjust Community Users Permissions Slide 35 Manage Community Georeferencing assignments Assign all records from Kenya to experts on East African regions Slide 36 View corrections Slide 37 Slide 38 Slide 39 Slide 40 Slide 41 Slide 42 Interoperability: Slide 43 Slide 44 Slide 45 Slide 46 Slide 47 Slide 48 Slide 49 Slide 50 Questions? University of the Western Cape Cape Town, South Africa 04-08 Feb 2011