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V AN H ALL I NSTITUUT Developments in GIS from data to work flow management Marinus de Bakker Expertise Centre Geo-information & Soil Management Van Hall.

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Presentatie over: "V AN H ALL I NSTITUUT Developments in GIS from data to work flow management Marinus de Bakker Expertise Centre Geo-information & Soil Management Van Hall."— Transcript van de presentatie:

1 V AN H ALL I NSTITUUT Developments in GIS from data to work flow management Marinus de Bakker Expertise Centre Geo-information & Soil Management Van Hall Instituut, Groningen 13/10/03 University of Udine

2 V AN H ALL I NSTITUUT Contents as examples Riskmanagement & animal diseases t available data, knowledge and wisdom Parcel registration t project towards organisation Workflow management t GI in the enterprise

3 V AN H ALL I NSTITUUT GIS and animal diseases Foot and Mouth disease t Van Hall experiences Avian influenza t presentation Theoretical remarks

4 V AN H ALL I NSTITUUT Outbreak Foot and Mouth disease 11/04/01 Leeuwarden Groningen

5 V AN H ALL I NSTITUUT What to do? preventive measures need for specific data / information t students t home / practical placement t staff t animals? t communication t internal / external

6 V AN H ALL I NSTITUUT

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 V AN H ALL I NSTITUUT Results foot and mouth difficult to get reliable data immediately crisis team afterwards ……….

9 V AN H ALL I NSTITUUT Next crisis:Avian Influenza Ministry: t better prepared Slideshow: t weekly update of the different outbreaks t blue: suspect, red: confirmed t bufferzones: no transport

10 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

11 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

12 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

13 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

14 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

15 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

16 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

17 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

18 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

19 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

20 V AN H ALL I NSTITUUT Wekelijkse stand van zaken

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

30 V AN H ALL I NSTITUUT Theoretical approach for the next “disaster” response Identification & Planning t risk assessment t collection of reliable and up to date consistent data t define the possible presentation Response t communication t short decisionlines Recovery t lessons for next year

31 V AN H ALL I NSTITUUT Conclusions Animal diseases exchange of t data (quality and structure) t information and organisation wisdom t prepare (GI team ready) t test (run simulations) t evaluate t learn & educate t stay prepared

32 V AN H ALL I NSTITUUT From a project to an organization Government Service Parcel Registration, Ministry of Agriculture, Nature and Food Quality (DBR, Assen, the Netherlands)

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

34 V AN H ALL I NSTITUUT Actual procedure (< 1995) data Nature protection wildlife Nature protection vegetation fertilizers record verification decision calculate farmer as client account herbicides subsidy Each measure : rights

35 V AN H ALL I NSTITUUT 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 V AN H ALL I NSTITUUT Data sources topographical data (1:10.000) arial photo’s cadastral map soil map municipality administration (name, adress) all digital farm map

37 V AN H ALL I NSTITUUT Unlink: collection and use data Record & verification decision calculate farmer as client account Each measure : rights

38 V AN H ALL I NSTITUUT Technical infrastructure databaseOracle 8ispatial / SDE operating systemVMS 7.3 interfaceDesigner/Developer 6.0 GISMap Objects 2.1

39 V AN H ALL I NSTITUUT Solution: long term data entry agricultural sector front office mid office back office services relationship parcels animal, plants

40 V AN H ALL I NSTITUUT Integrated organization model

41 V AN H ALL I NSTITUUT GI(S) integrates Work flow management

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

43 V AN H ALL I NSTITUUT Mindmap*.pdf

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

45 V AN H ALL I NSTITUUT Job Tracking for ArcGIS (JTX) enterprise workflow management application multi-user geodatabase environments simplifies, automates, tracking and streamlines workflow allocates resources Source:

46 V AN H ALL I NSTITUUT Definition of workflow (II) once versus repetitive t one map versus digital database t GIS procedure and/or GIS application research versus maintenance t explorative or confirmative (hypotheses) t collection of data and/or monitoring technical versus organizational content versus procedure

47 V AN H ALL I NSTITUUT Why a description of the workflow? analytical tool also use for communication t record t reproduce process objective, process design and process maintenance

48 V AN H ALL I NSTITUUT 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 V AN H ALL I NSTITUUT Definition of workflow (III) level t individual t project t programme t division t enterprise wide t country wide t world wide

50 V AN H ALL I NSTITUUT Project group level Source:

51 V AN H ALL I NSTITUUT checklist how to use GI(S) in projects

52 V AN H ALL I NSTITUUT Approach (general + idealized) Level of project lifecycle Source:

53 V AN H ALL I NSTITUUT Knowledge management environment Working group project knowledge bank expertise circle calendar documents processes newsletter bring fetch

54 V AN H ALL I NSTITUUT Competences demonstrated abilities: behavioral characteristics that are important to fulfill a certain role /function with succes knowledge t GI infrastructure, - maintenance, - presentation, analysis, -visualise skills and attitudes t flexibility, communication, self-management, creativity t analytical capabilities, accuracy, compromise

55 V AN H ALL I NSTITUUT structure

56 Comparison competences / function

57 V AN H ALL I NSTITUUT levels 1. basic knowledge and attitude, coached, application in controlled environment 2. applies compentence independent in simple situations 3. more complex situations 4. applies competence in a flexible way, can help others

58 V AN H ALL I NSTITUUT Conclusion Communication creative innovative

59 V AN H ALL I NSTITUUT Questions? Discussion? Expertise Centre Geo-information & Soil Management Van Hall Instituut, Groningen

60 V AN H ALL I NSTITUUT (near) future update faster collection smarter t data input with internet (check?) t management info system of farmer (precision farming) t combination with other databases t 1 form for all presentation with internet (privacy?) later: include animals


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