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+<div class="menu-link">
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+ <div class="container" (click)="toggleMenu()">
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+ <div class="bar1"></div>
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+ <div class="bar2"></div>
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+ <div class="bar3"></div>
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+ </div>
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+</div>
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+
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<main>
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- <h1 class="pl-2">Rural Attractiveness Explorer</h1>
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- <h2 class="pl-2">Regional attractiveness of Polirural Pilot Regions based on system Dynamics models</h2>
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- <div class="pl-2">
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- <h3>SDM – DIH integration bridge</h3>
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- <p>This page provides some showcase ideas about visualization of SDM model outputs in various points in time.
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- SDM is a System Dynamics Model developed as a part of the Polirural project. <a href="hub.polirural.eu">DIH</a> is
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- a Digital Innovation Hub developed as another part of the Polirural project.
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- Regional attractiveness is one of the tools present in the DIH.</p>
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+ <a name="0-intro"></a><landing-page></landing-page>
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+
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+ <div class="page">
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+ <a name="1-foresight"></a><h1 class="pl-2">Regional Foresight</h1>
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+ <!--
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+A short note on the POLIRURAL project as a host for 12 regional Foresight initiatives.
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+
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+Links to FS related project deliverables
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+Links to newsletter and related articles
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+Links to internal deliverables (inventories, guides, compendia etc.)
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+Links to the 12 Foresight pages
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+Links to external pages for FUP
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+ -->
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+ </div>
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+
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+ <div class="page">
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+ <a name="2-text-mining"></a><h1 class="pl-2">Text Mining applied to Regional Foresight</h1>
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+ <!--
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+A short text explaining TM, its application to Foresight, and the work done on TM in the POLIRURAL project.
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+
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+Links to TM related project deliverables
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+Links to newsletter and related articles
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+Links to CKA paper and PPT for ISPIM Copenhagen meeting in June22
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+Link to the “The Semantic Explorer”
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+
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+ -->
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</div>
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- <div class="pl-2">
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- <h3>About System Dynamics Modelling</h3>
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- <p>The SDM tool can be used to simulate the impacts of different policy approaches on various KPIs in the PoliRural
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- pilot regions through 2040. The outputs of this tool are highly interesting and relevant for decision-making and
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- planning activities.
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+
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+ <div class="page">
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+ <a name="3-sdm"></a><h1 class="pl-2">System Dynamic Modelling applied to Regional Foresight</h1>
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+ <!--
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+A short text explaining
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+SDM, Its application to Foresight, and the work done on TM in the POLIRURAL project.
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+The 3-layer model
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+The 8-module master model
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+
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+Links to TM related project deliverables
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+Links to newsletter and related articles
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+Links to POLIRURAL paper with Milos et al...
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+Link to page 4 entitled “The Policy Options Explorer”
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+Link to page 5 entitled “The Rural Attractiveness Explorer”
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+-->
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+ </div>
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+
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+ <div class="page">
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+ <a name="4-policy-options"></a><h1 class="pl-2">The Policy Options Explorer</h1>
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+ <!--
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+A short text explaining how the global model was adapted for each of the regions.
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+
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+Links to SDM related project deliverables
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+Links to newsletter and related articles
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+Link to the “The Policy Options Explorer” (pages of Runar and Antoni, or separate links for each region)
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+
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+ -->
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+ </div>
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+
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+ <div class="page">
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+ <a name="5-attractiveness"></a><h1 class="pl-2">The Rural Attractiveness Explorer</h1>
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+ <p>In PoliRural, we observed that concepts of rural attractiveness often feature in regional development strategies,
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+ that they differ significantly from region to region, and are conditioned by developmental priorities such as the
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+ desire to attract investors, entrepreneurs, or tourists. Thus, what is understood as rural attractiveness may
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+ depend on where, when, and by whom attractiveness is
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+ determined Additionally, the attractiveness of a region can be determined only in comparison to other regions.
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+ This means that a region that is rather attractive compared to one set of regions can be rather unattractive
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+ compared to another set of regions. Due to this complexity, measuring and evaluating rural attractiveness is
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+ challenging.</p>
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+
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+ <p>Nevertheless, there is some common understanding of and agreement on the general issues that matter for rural
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+ attractiveness. These are aspects belonging to the following areas:</p>
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+ <ul>
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+ <li>social,</li>
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+ <li>natural environment,</li>
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+ <li>human-made environment,</li>
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+ <li>economic,</li>
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+ <li>institutional,</li>
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+ <li>cultural.</li>
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+ </ul>
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+
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+ <p>This minimum agreement provided the basis for the development of a Rural Attractiveness Index. This index is made
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+ up of 6 sub-indices - one sub-index for each of the generally relevant areas mentioned above. Each of the
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+ sub-indices includes a number of sub-sub indices, e.g. the social sub-index could include sub-sub indices
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+ measuring the age composition or unemployment rate of the population in a region.
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+ The Rural Attractiveness Index reflects the characteristics of the concept of rural attractiveness: The values of
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+ the Index do not represent absolute estimates of the attractiveness of a region but reflect how attractive the
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+ assessed regions are in comparison to each other. To account for the context dependency of rural attractiveness,
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+ the concrete choice of sub-sub indices needs to be determined in each individual situation in which rural
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+ attractiveness is supposed to be evaluated.</p>
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+
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+ <p>With the Rural Attractiveness Explorer, we want to enable users to explore the effects of different policy
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+ choices on the rural attractiveness of the PoliRural pilot regions. Thus, we represent the outputs of the Policy
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+ Explorer as a value of the Rural Attractiveness Index and visualise the results of that in different ways. For
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+ this purpose, we adapted the Rural Attractiveness Index to fit with the Policy Options Explorer as follows
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+ (notably, the version of the Rural Attractiveness Index used here consists of only 4 instead of 6 sub-indices):
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+ <!-- TODO: image here -->
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</p>
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- <p></p>
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+ <!--
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+Links to RA related project deliverables
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+Links to relevant newsletter and related articles
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+
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+Link to page 6 entitled “Comparing Rural Attractiveness across the regions of Europe”
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+Link to page 7 entitled “Exploring the Dynamics of Rural Attractiveness”
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+Link to page 8 entitled “Exploring the Impact of Policy Option on Rural Attractiveness”
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+
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+ -->
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</div>
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- <div class="pl-2">
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- <h3>About Regional Attractiveness</h3>
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- <p>Attractiveness can be seen from the perspective of a farmer, a young man or woman, a businessman or a
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- sociologist. As there is no singular perception of attractiveness, there cannot be a singular value representing
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- it. In the Index of regional attractiveness, we emphasize the attractiveness of a region as a compound and
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- relative value. Based on available statistical data about a region, each region is then assessed by several
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- factors. In this showcase we differentiate social, anthropic, natural and economic factor.</p>
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- <p></p>
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+
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+ <div class="page">
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+ <a name="6-comparing-europe"></a><h1 class="pl-2">Comparing Rural Attractiveness across the regions of Europe</h1>
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+ <!--
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+A short text introducing the idea of comparing rural attractiveness across the regions of Europe.
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+ -->
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+
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+ Link to Map visualization for all regions
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+
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+ <!-- TODO: Link to map visualization for the project regions and its evolution over time
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+ <div class="map-row">
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+ <h2>Map-based comparison</h2>
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+ <hslayers-map></hslayers-map>
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+ </div>
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+ -->
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+ Link to ‘dots’ visualization for the project regions and its evolution over time
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+ <all-in-one-graph></all-in-one-graph>
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+
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+ Link to ‘disc’ visualization for the project regions and its evolution over time
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+ <year-graph></year-graph>
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+
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+ <!--
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+TODO: Link to ‘data race’ visualization for the project regions and its evolution over time
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+ -->
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</div>
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- <nav ngbNav #nav="ngbNav" [activeId]="2" class="nav-tabs">
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- <ng-container ngbNavItem disabled="true">
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- <a ngbNavLink>Visualizations:</a>
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- <ng-template ngbNavContent>
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- ...
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- </ng-template>
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- </ng-container>
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+ <div class="page">
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+ <a name="7-dynamics"></a><h1 class="pl-2">Exploring the Dynamics of Rural Attractiveness</h1>
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+ <!--
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+A short text introducing the idea of exploring the dynamics of rural attractiveness by drilling into the sub-indices
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+ -->
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- <ng-container [ngbNavItem]="2">
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- <a ngbNavLink>1st ("Discs")</a>
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- <ng-template ngbNavContent>
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- <year-graph></year-graph>
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- <factor-year-graph></factor-year-graph>
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- <scenario-factor-year-graph></scenario-factor-year-graph>
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- </ng-template>
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+ Link to ‘dots’ visualization of sub-indices for the regions and their evolution over time
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+ <h2>Detailed overview of individual regions</h2>
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+ <p>An aggregated attractiveness index is composed of six factors: anthropic, cultural, economic, institutional,
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+ natural and social. Due to the incompleteness of data provided by different regions, we only present four of
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+ them below.</p>
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+ <ng-container *ngFor="let region of sdmDihService.regions">
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+ <region-graph [region]="region"></region-graph>
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</ng-container>
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- <ng-container ngbNavItem>
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- <a ngbNavLink>2nd ("Dots")</a>
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- <ng-template ngbNavContent>
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- <all-in-one-graph></all-in-one-graph>
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- <h2>Detailed overview of individual regions</h2>
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- <p>An aggregated attractiveness index is composed of six factors: anthropic, cultural, economic, institutional,
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- natural and social. Due to the incompleteness of data provided by different regions, we only present four of
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- them below.</p>
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- <ng-container *ngFor="let region of sdmDihService.regions">
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- <region-graph [region]="region"></region-graph>
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- </ng-container>
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- </ng-template>
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- </ng-container>
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+ Link to ‘disc’ visualization of sub-indices for the regions and their evolution over time
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+ <factor-year-graph></factor-year-graph>
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- <ng-container ngbNavItem>
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- <a ngbNavLink>3rd ("Map")</a>
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- <ng-template ngbNavContent>
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- <div class="map-row">
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- <h2>Map-based comparison</h2>
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- <hslayers-map></hslayers-map>
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- </div>
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- </ng-template>
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- </ng-container>
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+ <!--
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+TODO: Link to ‘data race’ visualization of sub-indices for the regions and their evolution over time
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+ -->
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+ </div>
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- <ng-container ngbNavItem>
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- <a ngbNavLink>4th ("Race")</a>
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- <ng-template ngbNavContent>
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- #PLACEHOLDER
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- </ng-template>
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- </ng-container>
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- </nav>
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+ <div class="page">
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+ <a name="8-impacts"></a><h1 class="pl-2">Exploring the Impact of Policy Option on Rural Attractiveness</h1>
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+ <!--
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+A short text introducing the idea of exploring the impact of policy options on rural attractiveness, based on comparing the impact of different scenarios in each of three domains, for a single region
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+Infrastructure (roads and broadband coverage)
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+Agricultural policy
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+Support for Entrepreneurship
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+ -->
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+ Link to ‘disc’ visualization of impact of different options on RA for each domain
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+ Link to ‘disc’ visualization of impact of different options on sub-indices for each domain
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+ <scenario-factor-year-graph></scenario-factor-year-graph>
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+ <!--
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+TODO: Link to ‘data-race’ visualization of impact of different options on RA for each domain
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+TODO: Link to ‘data-race’ visualization of impact of different options on sub-indices for each domain
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+ -->
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+ </div>
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- <div [ngbNavOutlet]="nav" class="mt-2"></div>
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</main>
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