22568872 development of spatial statistical model

8/6/2019 22568872 Development of Spatial Statistical Model

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FR. CONCEICAO RODRIGUES COLLEGE OF ENGINEERING

DEVELOPMENT OF SPATIAL STATISTICAL MODELProject Members : Ashish Anant Nadkar5017 Vivek Vilas Patil 5021 Rishabh ShrenikJain 4999 Vikash Suresh Joshi 5001 Under Guidance of : Internal Guide : Mrs. Dipali Sadavarti External Guide : Mr. Deepak Choksi (Bhugol GIS Pvt. Ltd.)


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I T

U TI

A simple geostatistical application which uses following core concepts

GIS (Geographic Information Systems) Geostatistical Interpolation techniques

Bhugol GIS Pvt. Ltd. SI E IIT Bombay

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PROBLEM T TEMENT

To convert the discrete spatial data samples to continuous spatial data To estim

ate missing spatial data samples using the available samples in the proximity

Bhugol GI Pvt. Ltd. INE IIT Bombay

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HANDLING GI DATA

Vector Based GIo

o

Basic units of spatial information are points, lines (arcs) and polygons Features are defined by boundaries

Raster Based GIo o

patial data expressed as matrix of cells or pixels Each cell refers to smallestunit of info in raster map


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HANDLING GI DATA

Contd

Bhugol GI Pvt. Ltd.

Vector Representation INE IIT Bombay

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HANDLING GI DATA

Contd Exhaustive representation

Run-length encoding


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HANDLING GI DATA

Contd

Advantages/Disadvantages of raster and vector data modelsBhugol GI Pvt. Ltd. INE IIT Bombay 7


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HANDLING GI DATA


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HANDLING GI DATA

ome of the standard Raster Data formats used by well established GI software solutions are :

GeoTiff GRAM GI RAW data JPEG BMP NR A IR CD-Format, etc

The above formats can be imported to GRAM++ RAS format by the existing GRAM++ software This GRAM++ RAS format will be then processed by our module9

Bhugol GIS Pvt. Ltd. SINE IIT Bombay


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GEOSTATISTI S

Geostatistics is a collection of numeric techniques It is statistics applied to

geology Geostatistics is concerned with spatial data


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APPLI ATION

Meteorological Department calculation of average rainfall, humidity, temperatureMining Industry estimating availability of mines of coal, copper, etc. Availability of other natural resources and checking the soil contamination etc.


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GEOSTATISTI AL INTERPOLATION

Interpolation is a method that estimates the values at locations. It is a specific case of curve fitting. Various interpolation techniques:

o o o

IDW Spline method Kriging


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GEOSTATISTI AL INTERPOLATION

s1 s s s s3 s

s


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KRIGING

Group of geostatistical techniques to interpolate the random variable Named in honor of D.G.Krig It assumes spatial variation of an attribute is neither totallyrandom nor deterministic BL E (Best Linear nbiased Estimator)


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KRIGING1 6 W1

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Known samples nknown samplesBhugol GIS Pvt. Ltd. SINE IIT Bombay 15


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SEMI ARIOGRAM


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KRIGING

Types

Ordinary Kriging Simple Kriging niversal Kriging


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SIMPLE KRIGING

ses average of entire data set Assumes mean to be constant


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SIMPLE KRIGING


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SIMPLE KRIGING


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ORDINARY KRIGING

Focuses on spatially related components Assumes absence of drift ses LOCAL average


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UNI ERSAL KRIGING

Assumes spatial variation in z values has a drift Incorporates a trend (trend surface) in Kriging process


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CO-KRIGING

Extension of Kriging Required for estimating one variable from two variables Generally used when sampling of primary variables is difficult or expensive The twoco-variables must have a strong relationship


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CO-KRIGING

Plutonium

Carbon

Regression

< Original map

Co-Kriged map >


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UML DIAGRAMSUsecase Diagram :


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UML DIAGRAMSObject Diagram :


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UML DIAGRAMSActivity Diagrams :


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UML DIAGRAMSSequence Diagram :


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PROJECT REQUIREMENTS

SOFTWARE

VC++ 6.0 OpenGL 3.1

HARDWARE

Windows OS(XP or Vista) Min 40MB free hard disk space & 64MB RAM


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INTERFACE

VC++

The G I will be developed using VC++ programming & MFC The software used for thepurpose will be Microsoft Visual C++ 6.0 Enterprise Edition


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INTERFACE

Open GL (Graphics Library)

Application Programming Interface (API) Cross language & Cross Platform seful for producing 2D and 3D computer graphics Consists of more than 300 function callsfor producing complex 3D scenes Widely used in CAD, Flight simulators and VideoGames etc.31



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GRAM++

SCOPE

Gram++ is a software package developed at Bhugol GIS, IIT Bombay It consists ofdifferent modules for different purposes Development of Software using VC++ programming language Spatial Statistical model as an add-on functionality to Gram++GIS raster module terrain32



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REFERENCES

Geostatistics for Engineers and Earth Scientists, R.A. Olea, Kluwer PublicationESRI website Gamma design software Wikipedia Some self learning tools available

over internet


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DEVELOPMENT OF SPATIAL STATISTICAL MODEL

THANK YOU.


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22568872 development of spatial statistical model

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