the future of decision making with a national spatial database infrastructure (nsdi)

The future of decision making with a national spatial database

infrastructure (NSDI)

Eng.Mohamed GabrNSDI project manager

Ministry of Communications and Information Technology

(MCIT) mkader@mcit.gov.eg

Basic topics

Introduction1

Spatial decision 2

Decision making before NSDI3

Future of decision making after NSDI4

Case study of city (X)5

Conclusions6

Basic topics

Introduction1

Spatial decision

decision making before NSDI

Future of decision making after NSDI

Case study of city (X)

Conclusions

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Introduction about decision making & NSDI

GIS Cycle and Decision making

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NSDI characteristics

•The objective of SDI is to maximize the use of GI )access to GI provided by different organizations(

•SDI needs coordinated action on the part of governments and organizations

•The primary purpose of SDI is to support decision making

•SDI involves a wide range of activities )technical, institutional, financial and human resources(

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Basic topics

Introduction1

Spatial decision 2

decision making before NSDI3

Future of decision making after NSDI4

Case study of city (X)5

Conclusions6

How the spatial decision is made?

Acts (laws) are controlling the decision making process

everywhere

Act

Article 1 Article 2 Article N

Mentioned responsible

Party(s)

Mentioned responsible

Party(s)

Mentioned responsible

Party(s)

Responsible parties & needed data

How the decision is made?

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Phenomena/ RW

Designer 1Designer 1

Designer 2Designer 2

DB 1GIS x

Institutional constrain

i

DB 2GIS y

Institutional constrain

j

How the database is created?

Collaboratively/individually

Individually

General organization of

physical planning

Local authority

Min. of tourism

Ministry. Of Awkaf

Min. of environmental

affairs

Min. of finance

Dept. of property

tax

Council of Governorate

Min. of higher

education

Requirem

ents, monum

ents, excavations

Current urban conditionsSites &

requirements

Files of the buildingsSites &requirements

Locations of monumentsEntrance fees

Env. Analysis

Locations of monuments

Monuments need restoration

Ow

ner &tenant

Areas required to be publicly owned

Sites &requirem

ents

Follow up reports

PunishmentSupreme

Council of Antiquities

Min. of justice

Transgressions

Min. Of agriculture

Agriculture & reclamation areas

Min. of interior

Dept. of tourism & antiquities

Dept. of fire & civil defense

Clearance &

guarding

Sites &requirements

Data flow among responsible parties

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Utopia!!!!

Where is the road map???

I don’t find anything!!!

where is Utopia???

Where are utilities maps???

Where can I find a map of monuments locations???

Where are environmental

maps???

But in reality!!!!!!

Isolated

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Basic topics

Introduction1

Spatial decision 2

Characteristics of decision making before NSDI3

Future of decision making after NSDI4

Case study of city (X)5

Conclusions6

Lack of Coordination

Incompatible /obsolete Data

Losses in available Resources

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Basic topics

Introduction1

Spatial decision 2

decision making before NSDI3

Future of decision making after NSDI4

Case study of city (X)5

Conclusions6

NSDI positive effects

• Geo-Information policy• Establishing Unified low level standards for

HW, network,..• Establishing Unified high level standards for

DB design, data exchange, metadata…• Avoiding data monopoly

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• Establishing a collaborative strategy and a collaborative policy for Data collection, data base administration

• Avoiding data redundancy through cooperative coordinated data collection and data entry

• Publishing detailed information (metadata) about the existing data for organizations, researchers, and public

NSDI positive effects

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Party 1

NSDI positive effects

Specialized portal 1

Party 4Party 3

Party 2

Collaborative coordinated decision

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•Providing specialized portals for decision making

Main portal

NSDI positive effects

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Data provider (organization1/ Dept.1)

Results user (organization2/ Dept.2)

Attribute data

Geometric dataWeb service

Results of Analysis in many

Forms (images,Lists, data if theProvider agrees(

Data barrierFinal decision

NSDI positive effects•Providing web services for data analysis /exchange via web

Decision as InputFor Anotherorganization

Decision

Web service

NSDI positive effects

The profit (money over the cost) after using GIS

Time (long run)

NSDI positive effects

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•economical benefits

Basic topics

Introduction1

Spatial decision 2

decision making before NSDI3

Future of decision making after NSDI4

Case study of city (X)5

Conclusions6

Finding the best location for a secondary school in city (X)

Case study conditions

school location criteria

Planning the GIS project for decision making

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•specialized portals connect closely related organizations

•Main portal connects all organizations

•Some organizations participating in this portal have

working agreements to share data for city projects

•others have developed web services for analyzing

data without providing The possibility of downloading data

Case study conditions (environment)

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Where should we locate the school?

•At least 150 meters from major roads (to avoid noise and accidents).

•Within 500 meters of the nearest residential area (to keep students

in a reasonable walking distance).

•Within 200 meter of the city park (so student can have their break in the park)

•Within 500 meter of the city public library (to encourage students for research)

•At least 1000 meters from the industrial zone of the city (to avoid noise)

•The area should be at least 15000 square meters

•Provided with utilities

•The area should form a rectangle with longer distance facing the north direction.

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Planning the GIS project for decision making

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Identify project objectivesA

Create project data base B

Analyze dataC

Present the resultsD

Finding the most suitable location for the schoolA

Create the project databaseB

Review acts

Determine participating organizations

Establish the datasets matrix

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Datasets matrixCondition Dataset Attributes Data providerStatus

At least 150 meters from major roads

Roads Not requiredMinistry of transportationAgreement

Within 500 meters of the nearest residential area

Parcels1Land usesGeneral organization for physical planning

Agreement

Within 200 meter of the city park

Parcels1Land usesGeneral organization for physical planning

Agreement

Within 500 meter of the city public library

Parcels1Land usesGeneral organization for physical planning

Agreement

At least 1000 meters from the industrial zone of the city

Parcels1Land usesGeneral organization for physical planning

Agreement

The area should be at least 15000 square meters

Parcels2Area in square meter

survey authorityWeb service

Provided with utilitiesUtilities lines

Not requiredUtilities departmentWeb service

The area should form a rectangle with longer distance facing the north direction

ParcelsNot required survey authorityWeb service

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Status

Agreement

Web service

Data exchange

Result of analysis

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Finding the most suitable location for the schoolA

Create the project databaseB

Reviewing acts

Determine participating organizations

Establish the datasets matrix

Analyze the dataC

Determine required analysis functions

Overlay, query, clip, intersect..…,

Determine alternatives of the location

Present the alternatives to DM and they selectD

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Master plan With the new

School locationWeb service

public

Web service

Final master plan

Local authority

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Final master plan

Basic topics

Introduction1

Spatial decision 2

decision making before NSDI3

Future of decision making after NSDI4

Case study of city (X)5

Conclusions6

Before NSDI After NSDI

Decision making and time line

Data redundancy Coordinated data collection projects

Conflict in updating data Coordinated updating process

Few agreements for data exchange Perfect data exchange through the IT Policy

Individual analysis (point of view) Collaborative analysis

More time for data collection More time for data analysis & modeling

Slow methods for data exchange Speed exchange through networks

Time and money Saving time and money (1:7)

Data ownership Data ownership and benefits for others Through specialized portals & web services

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I think they like it!!!!!