Developments in GIS from data to work flow management

1. Developments in GISfrom data to work flow management Marinus de Bakker Expertise Centre Geo-information & Soil Management Van Hall Instituut, Groningen M.deBakker@pers.vhall.nl 13/10/03 University of Udine

2. Contents as examples • Riskmanagement & animal diseases • available data, knowledge and wisdom • Parcel registration • project towards organisation • Workflow management • GI in the enterprise

3. GIS and animal diseases • Foot and Mouth disease • Van Hall experiences • Avian influenza • presentation • Theoretical remarks

4. Outbreak Foot and Mouth disease 11/04/01 Leeuwarden Groningen

5. What to do? • preventive measures • need for specific data / information • students • home / practical placement • staff • animals? • communication • internal / external

7. Description of 2 km zone (example) The boundaries of the 2 km zone are as follows: 1. Vanaf H.M. Gerbrandywei N361 (Morra) volgend in noordoostelijke richting tot de 2 km cirkel Anjum.2. De 2 km cirkel Anjum volgend met de klok mee tot Saatsenwei.3. Saatsenwei de weg volgend in zuidwestelijk richting overgaand in Tibsterwei.4. Tibsterwei volgend tot 2 km cirkel Ee.5. De 2 km cirkel Ee volgend met de klok mee tot Lauwersseewei N361(Metslawier).6. Lauwersseewei N361 (Metslawier) de weg volgend in noordoostelijke richting overgaand in H.M. Gerbrandywei N361 (Morra). ?? Usefull ??

8. Results foot and mouth • difficult to get reliable data immediately • crisis team • afterwards ……….

9. Next crisis:Avian Influenza • Ministry: • better prepared • Slideshow: • weekly update of the different outbreaks • blue: suspect, red: confirmed • bufferzones: no transport

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29. Results Avian Influenza • difficulty to get reliable data • location farms (postal codes) • professional farming versus hobby farming • up to date data • redigitizing roads for blockades • communication with the general public

30. Theoretical approach for the next “disaster” response • Identification & Planning • risk assessment • collection of reliable and up to date consistent data • define the possible presentation • Response • communication • short decisionlines • Recovery • lessons for next year

31. Conclusions Animal diseases • exchange of • data (quality and structure) • information and organisation • wisdom • prepare (GI team ready) • test (run simulations) • evaluate • learn & educate • stay prepared

32. From a project to an organization Government Service Parcel Registration, Ministry of Agriculture, Nature and Food Quality (DBR, Assen, the Netherlands)

33. Parcel registration • 1 need changed to several needs • less administrative pressure / burocracy • basic data: each farmer indicates his parcels • user, title, crop, date, area, coordinates, history • source, documents, communication • aerial photos, topographic and cadastral maps • definition: • connected piece of land (no topographical boundaries) • used by 1 client, 1 user, 1 crop, 1 fertilizer number • once collected (but update! every month) • use for different measures / subsidies

34. Actual procedure (< 1995) data fertilizers Each measure: record Nature protection wildlife verification farmer as client Nature protection vegetation decision subsidy calculate herbicides account rights

35. problems • different client numbers • claims are too high / too low • claims on 1 parcel by different clients • parcels to difficult to digitize • quality of digitized parcels was too low, time constraint!

36. Data sources • topographical data (1:10.000) • arial photo’s • cadastral map • soil map • municipality administration (name, adress) • all digital • farm map

37. Unlink: collection and use data Each measure: Record & verification farmer as client decision calculate account rights

38. Technical infrastructure • database Oracle 8ispatial / SDE • operating system VMS 7.3 • interface Designer/Developer 6.0 • GIS Map Objects 2.1

39. Solution: long term front office mid office back office agricultural sector services relationship parcels animal, plants data entry

40. Integrated organization model

41. GI(S) integrates Work flow management

42. GIS Implementation Enterprise GIS Departmental GIS Data Access/Data Publishing Personal GIS Network/Cooperation Projects Data Management Cartography/Analysis

43. Mindmap*.pdf

44. Definition of workflow (I) • number of activities to reach a goal (product or service) • logics and steps • personnel, materials (data), resources • tasks, responsibilities, qualifications, power • quality assurance of the procedure • link with time and money • What to do by whom, when, and with what result?

45. Job Tracking for ArcGIS (JTX) • enterprise workflow management application • multi-user geodatabase environments • simplifies, automates, tracking and streamlines workflow • allocates resources Source: www.esri.com/jobtracking

46. Definition of workflow (II) • once versus repetitive • one map versus digital database • GIS procedure and/or GIS application • research versus maintenance • explorative or confirmative (hypotheses) • collection of data and/or monitoring • technical versus organizational • content versus procedure

47. Why a description of the workflow? • analytical tool • also use for communication • record • reproduce • process objective, process design and process maintenance

48. Focal point I have a GIS solution, where is the problem? I am involved in a workflow that could be enhanced, how can I use GI(S)? (effective and efficient)

49. Definition of workflow (III) • level • individual • project • programme • division • enterprise wide • country wide • world wide

50. Project group level Source: http://www.rmsi.com/gis/processes.htm