gis and geostatistics

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    GIS & Geostatistics in Plant Diseases

    Epidemiology and Management

    Amjad Shahzad

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    What is GIS

    Difference between GIS and GPS

    GPS Data Collections

    GIS software output

    What is Geostatistics

    GPS, GIS and Geostatistics Disease Epidemiology

    Presentation Overview

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    Key tool to improve farm practices

    Make sense to organize farm information in spatialdatabase

    Valuable tool for;

    Monitoring, Predicting, Managing & Fighting for diseases

    and pests

    Cost effective & efficient tool – targeting disease controlinterventions

    Information Management

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    Global Information System

    Computer software program

    Assemble, Store , manipulate and display large amount ofdata from GPS and other sources

    Free available & can be installed on desktop computer

    Relates the geo-referenced information

    Integrate layers of spatial information - uncover possiblerelationships

    GIS

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    Vector and Raster

    GIS

    Data sets, map features;

    Points

    Lines

    Polygons

    Organized and manipulated

    in the database

    Data sets are organized;

    Matrix of numerical value

    Referenced spatially by

    rows and column positions

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    Global Positioning System

    Satellite system

    Projects information to GPS receivers on the ground

    Enable users to determine latitude and longitude coordinates

    System of navigation satellites – US Department of defense

    NAVSTAR System

    Important tool for spatially referencing agricultural data

    GPS

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    GPS Receivers – Satellite Signals

    position determination in spherical coordinate system

    Distance and direction calculation

    Geostatistical analysisElevations can be added in 3D spatial considerations

    GPS

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    Global Positioning System (GPS)

    An agricultural producer may use a handheldGPS receiver to determine the latitude andlongitude coordinates of a water source next toa field or vineyard.

    Examples of GPS and GIS

    Global Information System (GIS)Following a chemical spill, maps obtained

    from a GIS system can reveal

    environmentally-sensitive areas that

    should be protected during response.

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    Digital Mapping

    Examine landscape that would be impossible with othertools

    Measurement of landscape structures

    Resource Mapping

    Diseases Mapping

    Integration of multiple layers of variables

    Modeling resources

    GIS Applications

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    Analysis of spatially distributed variables

    Statistical model – estimation across continuous areas

    Prediction / estimation of values at unsampled locations

    Create surface map based on point samples andobservations

    “Surface map – map with shaded area keyed to variable” 

    Geostatistics

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    Surface map – appropriate

    Variable (Pathogen propagule density , Disease incidence,insect vector abundance) exhibit positive correlation

    Can be misleading

    Adjutant fields are highly dissimilar Abrupt differences defined by field boundaries

    Geostatistics

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    Used to analyze spatial disease distribution

    Spatiotemporal analysis – cabbage downy mildew

    Used in regional risk assessment programs

    Used for the management of plant viruses

    Used for the study of inoculum patterns

    Applications of Geostatistics

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    Exploratory data analysis

    Spatial auto-correlation modeling

    Estimation at unsampled locations (surface maps)

    Estimates reliability evaluation

    Geostatistical Analysis

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    Cotton Leaf Curl Virus (CLCuV)

    Case study

    CLCuV Sampled Locations

    Sampled locations

    Cotton growing areas of Punjab

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    Cotton Leaf Curl Virus (CLCuV)

    Case study

    GPSApplication

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    Cotton Leaf Curl Virus (CLCuV)

    Case study

    DiseaseData

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    Cotton Leaf Curl Virus (CLCuV)

    Case study

    GISApplication

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    Cotton Leaf Curl Virus (CLCuV)

    Case study

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    Response to plant disease problem

    Case example

    Situation 

    Confirmed case of a plant disease in a small test plot.

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    Case example

    Response to plant disease problem

    Facts

    Disease spores may be spread by wind

    Combine used in the field was not disinfected

    Two neighbors borrowed the machine Combine traded or shipped from dealer by rail

    Estimated range of disease movement is one mile

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    Case example

    Response to plant disease problem

    Response Task

    Surface map for the possible affected areas

    Notify all farmers within one mile of the infected fields,

    neighbors, fields, highways and railroad

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    Case example

    Response to plant disease problem

    Collection of Vector Data for the area

    Information;

    Aerial photograph – GPS receivers

    Graphic image

    In to GIS database

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    Case example

    Response to plant disease problem

    Collection of Raster Data for the area

    Information;

    wind direction

    Wind speed

    Wind duration

    In to GIS database

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    Case example

    Response to plant disease problem

    Other queries can be

    run, to obtain maps of

    highways and railways . .

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    Case example

    Response to plant disease problem

    . . . and to identify affected

    farms within a designated

    quarantine area.

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    Case example

    Response to plant disease problem

    If the established GIS

    database is extensive,

    detailed information may

    be obtained, such as

    producers’  names, phone

    numbers, and exact

    locations, facilitating

    rapid response efforts.

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    References

    Davis, G., W. Casadyand R. Massey. 1998. Precision Agriculture: An

    Introduction. Publication Number WQ450. University of Missouri-Columbia.

    Geographic Information Systems as an Integrating Technology:Context, Concepts, and Definitions". ESRI. Retrieved 9 June 2011.

    Hameed, S., S. Khalid, Ehsan-Ul-Haq, A.A. Hashrni. 1994. Cotton leafcurl disease in Pakistan caused by a whitefly transmitted

    geminivirus. Plant Disease 78, 529. Nadeem A.I., Z. Weng , M.R. Nelson, Z. Xiong. 1997. Cotton leaf

    crumple virus and cotton leaf curl virus are two distantly relatedgeminiviruses. Molecular Plant Pathology on-line.

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    References

    Nadeem, A. 1999. Applications of Geographic Information Systemsand Geostatistics in Plant Disease Epidemiology and Management.Plant Disease. 83. (04); 308-319

    Nelson,M.R., T.V. Orum, R. Jaime-Garcia and A. Nadeem. 1999.Application of Geographic Information Systems and Geostatistics inPlant Disease Epeidemiology and Management. Plant Disease83:308-319

    Pfost, D., W. Casady and K. Shannon. 1998. Precision Agriculture:

    Global Positioning System (GPS). Publication Number WQ452.University of Missouri-Columbia.

    Star, J., and Estes, J. 1990. Geographic Information Systems: AnIntroduction. Prentice Hall, Englewood Cliffs, NJ.

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    References

    Theller, L., and B. Engel. 2004. Constructing a Geographic InformationSystem for Biosecurity. Center for Advanced Applications in GIS, Ag andBiological Engineering Department, Purdue University.

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    Thank you!

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    Degradation of freely available signals of GPS satellites

    by US Department 0f Defense – Selective ability Precision and accuracy of GPS readings are reduced

    “Accuracy - Closeness of a measured or computed value toits true value” 

    “Precision – Closeness of repeated measurements of thesame quantity” 

    Selective Ability

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    Epidemic

    Epi = upon, among

    Demos = peopleEpidemic = What is among the people

    “Change in the diseases intensity in a host population overtime and space” 

    Study of epidemics

    Science of disease in populations

    Spread of disease in space and time

    Epidemiology