Step 3: Advanced Analysis Map environment ESDA

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Transcript Step 3: Advanced Analysis Map environment ESDA

QUERY THE GEODATABASE: A step by step use of ESPON WEB GIS
Coastal NUTS 2 areas with female
population in 2000 > 700.000
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Using ESPON WEB GIS for SPATIAL ANALYSIS
STUDY THE ACCESSIBILITY in relation to TERRITORIAL COHESION
 Data are organized in Data Navigator
(Sub) Categories.
Searching the Data Base
to select the appropriate
data/indicators
 Each (sub) category corresponds to
one predefined map (Simple Analysis
Environment).
Selection of Data Navigator subcategory 
Transport →Time & Modes
sa
Simultaneously examination of data
from different subcategories are aloud
only in Advance Analysis Environment.
Selection of indicator
Indicator: gdp1000ttm
Time to market by road,
half life macroscale
(1000) weighted by GDP.
Metadata and/or
documentation from TPG’s
reports.
Step1 : Searching the GeoDataBase
UEHR
a
c
b
d
Step 2: Statistical Analysis environment
EDA (Exploratory non spatial Data Analysis) of the selected indicator
UEHR
Step 3: Advanced Analysis Map environment
ESDA (Exploratory Spatial Data Analysis)
Step 3: Advanced Analysis Map environment ESDA
a: Selection – Add layers
Step 3:
Advanced Analysis Map environment ESDA
b: Spatial distribution of the areas with values of accessibility
(GDT1000TTM) over the mean value
Step 3: Advanced Analysis Map environment ESDA
c: Study the spatial distribution of a new indicator LAGGING REGIONS
Step 3: Advanced Analysis Map environment ESDA
d: Study the spatial relation GDP1000TTM + LAGGING REGIONS
Mean for
lagging
regions
Step 3: Advanced Analysis Map environment ESDA
e: Lagging Regions with Accessibility (GDP1000TTM) up to the average
of the Lagging Regions
Mainly
new
countries
Average
accessibility
1542,7
Richest Lagging
Areas
Step 3: Advanced Analysis Map environment ESDA
f: Lagging Regions with Accessibility (GDP1000TTM) up to the average
of the “Richest Lagging Areas”
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