Role of Spatial Database - PowerPoint Presentation

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Role of Spatial Database - PPT Presentation

in Biodiversity Conservation Planning Sham Davande GIS Expert Arid Communities Technologies Bhuj 11 September 2015 Introduction What is NonSpatial and Spatial Data Spatial Data ID: 328460

gis data biodiversity spatial data gis spatial biodiversity database study examples outputs ecological case conservation

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Slide1

Role of Spatial Database

inBiodiversity Conservation Planning

Sham Davande, GIS ExpertArid Communities Technologies, Bhuj

11 September, 2015Slide2

IntroductionWhat is Non-Spatial and Spatial Data?Spatial Data Types and GIS Layers

Role of Spatial Database and its FunctionalityBasic GIS AnalysisGIS Applications in Biodiversity conservation

Case Study examplesSlide3

Non Spatial Data

is the data or

information with no details of any location

?Slide4

What makes data spatial?

Placename

Grid co-ordinate

Postcode

Distance & bearing

Description

Latitude / LongitudeSlide5

Spatial Data

Spatial

Data – it is the data or information that

identifies

the geographic location of features

and

is usually stored as coordinate that can be

mapped.Slide6

Spatial Data Mapping

Field data to GIS data layer in QGISSlide7

Spatial Data Mapping

Field data to GIS layer in QGISSlide8

Spatial Data Mapping

Field data to GIS layer in QGISSlide9

Spatial data features

Types of Features in Spatial

database

Point

Line

Polygon

GIS

data types

Spatial data

Attribute data

Linked Tables

RastersSlide10

Role of Spatial database in Biodiversity conservationUniform data across usersEasy to update and Manage database

Higher quality GIS analysisEnhance data efficiencySpatial and Temporal database of ecological parametersAbility to carry out “what if?” scenarios

Ability to visualize species distributionWorks with Remote Sensing TechnologyAbility to develop WebGIS

10Slide11

Spatial database and GIS Layers for Biodiversity Conservation 11

Spatial Database FunctionalitySlide12

Spatial Database FunctionalitySurvey data linked with field photographsLinked table with Relationship class

12Slide13

Spatial Database FunctionalityWeather Station linked with time series weather data

13Slide14

Spatial database for Biodiversity

GIS data Layers for Biodiversity ConservationSlide15

Spatial Databases

& GIS

At a simple level a GIS may just form the graphical interface to a database

The majority of GIS applications follow this example

Linked database table

Spatial data

Spatial SQL

Query ManagerSlide16

GIS & Analysis

In the context of GIS, analysis is...

“Deriving new information from existing data”

It is also the manipulation of data to solve a problem

e.g.

identify all areas within 500m of a lake

Increase in use of GIS analytical capabilities,

BUTmany GIS projects only use the software to store and manage geographical dataYet analysis often relies on many simple basic GIS techniquesSlide17

Simple Query

The identification of objects and their attributes either by location or attribute query.Slide18

Spatial data

Spatial SQL

Query Manager

Spatial

Query

How many Sociable lapwings recorded in Gujarat?Slide19

Buffering

Creation of an area of interest around an object

proximity analysis and

species range assessment

in an areaSlide20

GIS Applications using Spatial DatabaseMapping of Grasslands, Forests, Agriculture, Water Resources etc.Field data management and its analysisMapping Habitats, Species Diversity

Environmental Impact AssessmentFragmentation Analysis of LandcoverSpecies Distribution Modelling (Ecological Niche Modelling)Water Resources ManagementTransport/vehicle routing

Health Hazards prediction and many more . . . 20Slide21

Genetic Algorithm for Rule-set Prediction

GARP

is a species distribution or ecological niche modeling algorithm

GARP

is used to predict whether an area of study is suitable habitat for the species in question

GARP

works in an iterative process of rule selection, evaluation, testing, and incorporation or rejection

Ecological Niche ModellingSlide22

Genetic Algorithm for Rule-set Prediction

Ecological Niche ModellingSlide23

GARP

Animal

Human

Environmental

Elevation

Aspect

Slope

Biogeoclimatic

January Temp

July

Temp

Precipitation

Soil

Determine significant variables

Methodology and Data

Resulting models

Ecological Niche ModellingSlide24

GARP

20 ecological niche model outputs produced for each set of cases

GIS

Potential

= 1-10 model agreement

Optimal

= 11-20 model agreement

Model accuracy is based on:

# of correct predictions

# of correct predictions + commission and omission errors

Ecological Niche ModellingSlide25

Ecological Niche ModellingSlide26

Case Study of NG. BiodiversitySlide27

Case Study of NG. Biodiversity …..Slide28

Case Study of NG. Biodiversity …..Slide29

Case Study of NG. Biodiversity …..Slide30

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Case Study of NG. Biodiversity …..Slide33