INSPIRE Species DistributionA BOTTOM‐UP APPROACH

@GILAB_OL #HotSpotGeoCMS

Dipl. Env. Sci. Christian AdenB.Sc. Anna Charlotte Kirchner

CvO University of Oldenburg Applied Geography and Environmental Planning

christian.aden@uni‐oldenburg.de

28.09.2016

BACKGROUND Objectives Methods Results

Fieldwork and Data CollectionWho?

• Public authorities• NGOs

What?

• Indicator species• Red list species• Other species• Known/ordinary species

BACKGROUND Objectives Methods Results

Data Flows:FromNGOs toPublic Authoritiesor

From analogue report sheets towards a digital data flow

BACKGROUND Objectives Methods Results

Concerns of Involved Volunteers • What happens with supplied analogue data?

No feedback – No species distribution atlases – No provision of data

• What about the information obligation of the authority?Environmental Information Act (UIG)Spatial Data Access Act (GeoZG)

§ 4 section 1 sentence 4 z6: Species distribution (geographical distribution of occurrences of animal and plant species

aggregated by grids, regions, administrative units or other analytical units)

Digital data which does not exist cannot be transformed or provided.

Background OBJECTIVES Methods Results

Objective:Provision of a data flow from NGOs to INSPIRE• Development of modules for the web‐based GeoCMS

HotSpot which can be handled by NGOs with a minimum of technical knowledge

• Survey management 

• Connection between ARDINI Apps and survey databases

• Mapping and transformation tools which can be used intuitively 

• View Service / Download Service 

Background Objectives METHODS Results

Methods• Software Engineering (GeoCMS HotSpot)

Traditional and agile

• Schema Mapping (Analysis, Mapping, Transformation Rules)More production than real transformation?

• UML‐based Web Engineering (Module GoINSPIRED)Use CasesContent, Navigation, Presentation and Process Models

Background Objectives Methods RESULTS

Schema Mapping

…was not really successful!

Species Name, Local ID, Counting Method… from Observation DatabaseSensitive Info, Occurrence Category… from Species Info DBCollected From / To, Population Size,  Domain Extent, Geometry… Transformation, CalculationReference Species ID and Name… fromWebservices… other Attributes via Form / List / Selection

Data Sources, Transformationsand Production

Background Objectives Methods RESULTS

ImplementationThe GeoCMSHotSpot

Background Objectives Methods RESULTS

Implementation FeaturesSurvey Management

Background Objectives Methods RESULTS

Implementation FeaturesWeb Portal and ARDINI App

Background Objectives Methods RESULTS

Implementation FeaturesData Evaluation

1. Experts2. Seasons 3. Known

Habitats4. Crowd5. SDM

Background Objectives Methods RESULTS

Implementation FeaturesGoINSPIRED

1. Insert Dataset Info2. Select Survey Database and Species Name Attribute3. Upload / Insert / Select Species Info

Reference IDs, Scientific / Local Name, Author, Taxon, Sensitive Info, Scheme Qualifier, Lifespan 

4. Insert Source InformationInstitution, Address, Method Info, Database

Background Objectives Methods RESULTS

Implementation FeaturesGoINSPIRED

5. Data Control• Experts• Crowd• SDM• Known Habitats• Seasons

Background Objectives Methods RESULTS

Implementation FeaturesGoINSPIRED6. Select Matching Attributes

Background Objectives Methods RESULTS

Implementation FeaturesGoINSPIRED7. Select Species, Insert Missing Attributes, Start Process

Background Objectives Methods RESULTS

Implementation FeaturesData Provision

Background Objectives Methods RESULTS

Implementation FeaturesData Provision1. GML (SOS linked)2. SLD-File3. SDM Package

Background Objectives Methods RESULTS

Conclusion & Outlook• Use of the software at regional scale

NABU OldenburgWorking on awareness for Standards

• Implementation of latest SDM methods (R / WPS)

• Looking for interfaces for data transfer

… System is in use within other projects Topic: Energy ResourcesData Collection: Macroplastics Project

Thank you for your Attention!

Questions?christian.aden@uni‐oldenburg.de

www.public‐gis.de

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