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DEVELOPMENT OF SPATIAL

STATISTICAL MODELProject Members :

Ashish Anant Nadkar5017Vivek Vilas Patil 5021Rishabh Shrenik Jain 4999Vikash Suresh Joshi 5001

Under Guidance of :Internal Guide : Mrs. Dipali Sadavarti

External Guide : Mr. Deepak Choksi (Bhugol GIS Pvt.Ltd.)

FR. CONCEICAO RODRIGUES COLLEGE OF ENGINEERING

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I T U TI

A simple geostatistical application whichuses following core concepts

GIS (Geographic Information Systems)Geostatistical Interpolation techniques

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PROBLEM T TEMEN T

To convert the discrete spatial data samplesto continuous spatial data

To estimate missing spatial data samplesusing the available samples in the proximity

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HA NDL ING G I D AT A

Vector Based G Io Basic units of spatial information are points, lines (arcs)

and polygonso Features are defined by boundaries

Raster Based G Io patial data expressed as matrix of cells or pixelso Each cell refers to smallest unit of info in raster map

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HA NDL ING G I D AT A

Vector Representation 5Bhugol G I Pvt. L td. I N E IIT Bombay

Contd

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HA NDL ING G I D AT A

R un-length encoding

Exhaustiverepresentation

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Contd

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HA NDL ING G I D AT A

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A dvantages/Disadvantages of raster and vector datamodels

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Contd

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HA NDL ING G I D AT A

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HA NDL ING G I D AT Aome of the standard Raster D ata formats used by well

establishedG

I software solutions are :G eoTiff G R A M G IR AW data

JPE GBMPN R A IR C D- Format, etc

The above formats can be imported to G R A M++ R AS format by the existing G R A M++ softwareThis G R A M++ R AS format will be then processed by our module

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GEO S T ATIS TI S

G eostatistics is a collection of numerictechniques

It is statistics applied to geologyG eostatistics is concerned with spatial data

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A PPL I ATION

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Meteorological Department calculation of average rainfall, humidity, temperatureMining Industry estimating availability of mines of coal, copper, etc.A vailability of other natural resources andchecking the soil contamination etc.

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GEO S T ATIS TI A L IN TERPOL ATION

Interpolation is a method that estimates thevalues at locations.It is a specific case of curve fitting.

Various interpolation techniques:o IDWo S pline methodo Kriging

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GEO S T ATIS TI A L IN TERPOL ATION

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ss

s1

s3s

s

s

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K R IG ING

G roup of geostatistical techniques tointerpolate the random variableN amed in honor of D. G .K rigIt assumes spatial variation of an attribute isneither totally random nor deterministic

BL E (Best Linear nbiased Estimator)

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K R IG ING

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1

5

K nownsamples

nknown

samples

W 1

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S EM I A R IOGR A M

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K R IG ING

TypesOrdinary K rigingSimple K riging

niversal K riging

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S IMPLE K R IG ING

ses average of entire data set Assumes mean to be constant

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S IMPLE K R IG ING

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S IMPLE K R IG ING

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ORD IN A RY K R IG ING

Focuses on spatially related componentsA ssumes absence of drift

ses L O C A L average

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UN I ER SA L K R IG ING

A ssumes spatial variation in z values has adriftIncorporates a trend (trend surface) inK riging process

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C O- K R IG ING

Extension of K rigingR equired for estimating one variable fromtwo variablesG

enerally used when sampling of primaryvariables is difficult or expensiveThe two co -variables must have a strong

relationship

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C O- K R IG ING

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Plutonium C arbon R egression

< O riginal map

C o -K riged map >

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UML D I A GR A M S

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Usecase D iagram :

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UML D I A GR A M S

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Object D iagram :

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UML D I A GR A M S

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A ctivity D iagrams :

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UML D I A GR A M S

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S equence D iagram :

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PRO J E C T REQ UIREMEN TSS O FT W ARE

VC ++ 6 .0O penGL 3.1

HAR DW AREW indows O S (XP or Vista)

M in 40 M B free hard disk space & 6 4M B R AM

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IN TERF A C E

VC ++

The G I will be developed using V C ++programming & M F C

The software used for the purpose will beMicrosoft Visual C ++ 6 .0 E nterprise E dition

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IN TERF A C E

Open GL (Graphics Library)A pplication Programming Interface ( A PI)C ross language & C ross Platform

seful for producing 2D and 3D computer graphicsC onsists of more than 300 function calls for producing complex 3D scenesW idely used in C A D, F light simulators and VideoGames etc.

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GR A M++ S C OPEG ram ++ is a software package developed at

Bhugol G IS , IIT BombayIt consists of different modules for differentpurposes

Development of S oftware using V C ++ programminglanguage

S patial S tatistical model as an add -on functionalityto G ram ++ G IS raster module terrain

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REFEREN C E S

Geostatistics for E ngineers and E arth S cientists,

R .A. Olea, Kluwer PublicationE S R I websiteGamma design software

W ikipediaS ome self learning tools available over internet

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DEVELOPMEN T OF S P ATI A L S T ATIS TIC A L MODEL

THANK YOU.

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