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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