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P A S S W O R D QUERY THE GEODATABASE: A step by step use of ESPON WEB GIS Coastal NUTS 2 areas with female population in 2000 > 700.000
PASSWORD
QUERY THE GEODATABASE: A step by step use of ESPON WEB GISCoastal NUTS 2 areas with female population in 2000 > 700.000
sa
UEHR
Using ESPON WEB GIS for SPATIAL ANALYSIS
STUDY THE ACCESSIBILITY in relation to TERRITORIAL COHESION
Data are organized in Data Navigator (Sub) Categories.
Each (sub) category corresponds to one predefined map (Simple Analysis Environment).
Simultaneously examination of data from different subcategories are aloud only in Advance Analysis Environment.Transport →Time & Modes
Selection of Data Navigator subcategory
Indicator: gdp1000ttm Time to market by road, half life macroscale (1000) weighted by GDP.
Selection of indicator
Step1 : Searching the GeoDataBase
Searching the Data Base to select the appropriate data/indicators
Metadata and/or documentation from TPG’s reports.
Step 2: Statistical Analysis environment
EDA (Exploratory non spatial Data Analysis) of the selected indicator UEHR
a
b
c
d
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
Averageaccessibility1542,7
Mainlynewcountries
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”
NewPentagon ?
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