Da Data ta Re Requirements quirements Lothar Linde ADB GMS - - PowerPoint PPT Presentation

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Pr Presentati esentation

• n 1.2a

.2a Da Data ta Re Requirements quirements

Lothar Linde

ADB GMS Environment Operations Center

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1) 1) Wh Why bot

• ther

her abo bout ut data? ta? 2) 2) Eye-opening

• pening exer

ercise cise

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„For the execution of the voyage to the Indies, I did not make use of intelligence, mathematics or maps“

? =

Why make informed decisions?

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Yes! s! Data ta-driven analysis turns “opinions” in into

• relia

liable le in informa

• rmati

tion

• n tha

hat t is is:

1.

• 1. Holistic

stic: : Multi-layered databases help identify relationships between different factors 2.

• 2. Transpar

nsparent ent: data establish a common and

• bjective base for discussing with different

stakeholders (and interests), 3.

• 3. Acc

ccounta untable le: Accurate data and analytical results justify and back up SEA recommendations, 4.

• 4. Replic

plicable le: Data-driven analysis maintains its quality when transferred or repeated

Do I need data for that?

Click to edit Master title style Click to edit Master title style Magnitude itude Loca cati tion

• n /

/ Di Distr tribution ution Ass ssoci ciation tion Trend end St Stati tist stical cal data ta (e (e.g. . sprea eads dshe heets ets, , data taba bases) es) Geo eographic phical al data ta (e (e.g. . GIS f S files es, Geo eoda data tabase base, , Web-Map p Se Server er) What information do I need?

Location adds value to statistical data!

Click to edit Master title style Click to edit Master title style Does my plan need maps? Plan Spatial? Land Use Plan yes Power Development Plan yes Tourism Plan yes Socio-Economic Development Plan yes Transport Sector Plan yes

…most plans or projects have different levels of geog

• graphic

phic content ent and rela lation! tion!

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Magnitude of individual issues?  Stats on priority concerns Present condition in target area?  Baseline charts and thematic maps Data for economic projections?  Demand and supply scenarios Type & magnitude of impact?  Statistical and geogr. scores, summaries Efficient communication

• f recommendations? 

Charts and maps Areas to invest and avoid?  thematic

• verlays, multi-criteria

evaluation

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… Depends on 1) the plan or project analyzed and 2) the specific geographic setting and 3) the priorities of the

• stakeholders. Topics:

Environmental assets, condition and risks Socio-demographic characteristics and related vulnerabilities Economic parameters and dependencies

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• 1. Government agencies (National

Statistics Offices, Sector Ministries),

• 2. Research organizations / universities

(e.g. Columbia CIESIN),

• 3. Development organizations (e.g. ADB,

WB, UNEP, FAO etc.),

• 4. Non-governmental organizations and

think-tanks (e.g. WWF, SEA START),

• 5. Raw data producers (e.g. NASA,

GISTDA)

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1) 1) Wh Why bot

• ther

her abo bout ut data? ta? 2) 2) Eye-opening

• pening exer

ercise cise

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THANK YOU!