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        <title>gBay Wiki</title>
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    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=a_trade-off_analysis_of_ecosystem_services_and_dynamic_bns_in_the_dutch_wadden_sea&amp;rev=1682083809&amp;do=diff">
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        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>a_trade-off_analysis_of_ecosystem_services_and_dynamic_bns_in_the_dutch_wadden_sea</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=a_trade-off_analysis_of_ecosystem_services_and_dynamic_bns_in_the_dutch_wadden_sea&amp;rev=1682083809&amp;do=diff</link>
        <description>A Trade-off Analysis of Ecosystem Services and Dynamic BNs in the Dutch Wadden Sea, the Netherlands

Sonja Wanke, Alex Ziemba, Ghada el Serafy (Deltares)

Evaluating interactive effects of global factors with local pressures is one of the major challenges for future management of the Wadden Sea. Global pressures like sea level and temperature rise, and invasive species act on a large scale. For future management strategies it is vital to understand effects of global drivers and their influences …</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>avalanche_protection_in_davos_switzerland</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=avalanche_protection_in_davos_switzerland&amp;rev=1682083809&amp;do=diff</link>
        <description>Avalanche protection in Davos, Switzerland

Ana Stritih, Peter Bebi, Adrienne Grêt-Regamey


Protection from natural hazards such as avalanches is one of the most important ecosystem services provided by mountain forests. Forests decrease the probability of an avalanche release (</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:48:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>calculate_distance</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=calculate_distance&amp;rev=1682084890&amp;do=diff</link>
        <description>Calculate distance to specific cell type

This script calculates the distance from each cell to the nearest cell of a specific type (e.g. a road). 

The script can be used used in the Carbon storage and wood production example, to calculate the distance to roads (node Distance_road) directly in gBay.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T14:04:05+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>calculate_mean_value_in_neighbouring_cells</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=calculate_mean_value_in_neighbouring_cells&amp;rev=1682085845&amp;do=diff</link>
        <description>Mean of neighbouring cells

This script calculates the mean of a continuous variable (e.g. % forest cover) in a specified window around each cell. It runs before the first iteration (i.e. to prepare the input data).

The script is used in the Habitat suitability example, to calculate the mean forest cover in a 500m-window around each cell.</description>
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    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=carbon_storage_and_wood_production&amp;rev=1682083809&amp;do=diff">
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        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>carbon_storage_and_wood_production</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=carbon_storage_and_wood_production&amp;rev=1682083809&amp;do=diff</link>
        <description>Carbon storage and timber production

In order to model carbon sequestration, storage, and wood production in mountain forests, we use two remote sensing products, a land cover classification and a LiDAR-based canopy height model (CHM). The CHM is linked closely related to the total biomass of a forest stand. From one time step to the next, the forest biomass changes due to growth and harvesting, and this change accounts for most of the net carbon sequestration in mountain ecosystems. Forest inv…</description>
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        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>case_studies</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=case_studies&amp;rev=1682083809&amp;do=diff</link>
        <description>Case studies

Avalanche protection in Davos, Switzerland

Land-use scenarios in Sierra Nevada

Collaborative modelling of ecosystem services in Doñana

The impact of aquatic ecosystems provisioning services on tourism in the Danube Delta

A Trade-off Analysis of Ecosystem Services and Dynamic BNs in the Dutch Wadden Sea

Whale watching in the Pelagos</description>
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    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=collaborative_modelling_of_ecosystem_services_in_donana&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>collaborative_modelling_of_ecosystem_services_in_donana</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=collaborative_modelling_of_ecosystem_services_in_donana&amp;rev=1682083809&amp;do=diff</link>
        <description>Collaborative modelling of ecosystem services in Doñana

Pablo F. Méndez, Luis Santamaría (EBD-CSIC)

The overall goal is of the modelling exercise is to better understand and predict the influence of multiple environmental and management/policy factors over the waterbird community of the protected marsh of the Doñana PA. The main interests are twofold. First, the interest lies in the ability of BNs to capture the perceptions and beliefs of different stakeholders (e.g., decision-makers vs expert…</description>
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    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=dynamic_bns&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>dynamic_bns</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=dynamic_bns&amp;rev=1682083809&amp;do=diff</link>
        <description>Iterative BNs

Bayesian Networks usually represent a static state of the studied system, and feedback loops cannot be incorporated. To take into account changes over time, including feedbacks, we can use dynamic BNs, using the so-called “time-slicing” approach. In practice, this means that each time step is represented by a run of the network, where the</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>example_scripts</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=example_scripts&amp;rev=1682083809&amp;do=diff</link>
        <description>Example scripts for intermediate processing

Calculate mean value in neighbouring cells

Calculate distance

Calculate fuzzy area</description>
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        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>examples</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=examples&amp;rev=1682083809&amp;do=diff</link>
        <description>Example Bayesian Networks

In the following, we present three examples of Bayesian Networks for modelling ecosystem services. The networks and some associated data can be downloaded and used to get familiar with Netica and gBay. They are based on real ecosystems in the Swiss Alps, but are simplified, and need to be adapted with own data and/or knowledge in order to apply them elsewhere.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>habitat_suitability</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=habitat_suitability&amp;rev=1682083809&amp;do=diff</link>
        <description>Habitat suitability

The model describes the habitat suitability for a grouse species in the Alps. The grouse mainly live in montane, not-too-dense conifer forests (with 40-70% tree cover), where there is enough light for understory vegetation such as blueberries. Large forest areas are more suitable than small patches, so the model takes into account nearby pixels within a 500 m distance (calculated within gBay using a script to</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=how_to_develop_a_bn&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>how_to_develop_a_bn</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=how_to_develop_a_bn&amp;rev=1682083809&amp;do=diff</link>
        <description>Developing a Bayesian Network

A Bayesian Network is a directed, acyclic graph with an underlying joint probability distribution. It therefore consists of three parts:

	* A set of nodes representing variables, each with a set of mutually exclusive (discrete or continuous) states.</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=how_to_use_gbay&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>how_to_use_gbay</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=how_to_use_gbay&amp;rev=1682083809&amp;do=diff</link>
        <description>1. Upload a BN

In the first step, the BN we want to run should be uploaded in the .dne or .net format (as created in Netica or another BN software). This is done by using “choose file” and selecting the network file, or dragging and dropping the network file into the application. Then, we click “Proceed”.</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=intermediate_processing_technical_information&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>intermediate_processing_technical_information</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=intermediate_processing_technical_information&amp;rev=1682083809&amp;do=diff</link>
        <description>The python file uploaded for the intermidiate processing of gBay MUST implement a function named &#039;process&#039; that receives as an input information about the geographical region being used, the input nodes selected in the application, and the current iteration number.</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=intermediate_processing&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>intermediate_processing</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=intermediate_processing&amp;rev=1682083809&amp;do=diff</link>
        <description>Accounting for spatial interactions

Spatial interactions, such as neighbourhood effects, are often important in socio-ecological systems. In gBay, we can account for spatial interactions using the Intermediate processing module. Here, we can upload</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=iterative_bns&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>iterative_bns</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=iterative_bns&amp;rev=1682083809&amp;do=diff</link>
        <description>Iterative BNs

Bayesian Networks usually represent a static state of the studied system, and feedback loops cannot be incorporated. To take into account changes over time, including feedbacks, we can use dynamic BNs, using the so-called “time-slicing” approach. gBay uses a simplified version of this approach, where each time step is represented by a run of the network, where the</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=recreation&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>recreation</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=recreation&amp;rev=1682083809&amp;do=diff</link>
        <description>Recreation

The value of recreation in a landscape depends on its natural potential (i.e., the attractiveness of the landscape), as well as the its accessibility and the overall level of demand (e.g. the number of visitors in the region). In this network, we combine three factors that were defined by local stakeholders in the mountain region as important for landscape attractiveness: the topographic variability (heterogeneous terrain with prominent peaks), remoteness, and probability of observin…</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=start&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>start</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=start&amp;rev=1682083809&amp;do=diff</link>
        <description>gBay

Bayesian Networks with geo-data

Bayesian networks (BNs) are a powerful tool to represent complex socio-ecological systems, as they can take into account both qualitative and quantitative data, while the associated uncertainties are explicitly shown and propagated through the network. Furthermore, relationships between variables in the BN are represented graphically, creating a transparent model structure that can facilitate communication with stakeholders. Because of these advantages, BNs…</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=the_impact_of_aquatic_ecosystems_provisioning_services_on_tourism_in_the_danube_delta&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>the_impact_of_aquatic_ecosystems_provisioning_services_on_tourism_in_the_danube_delta</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=the_impact_of_aquatic_ecosystems_provisioning_services_on_tourism_in_the_danube_delta&amp;rev=1682083809&amp;do=diff</link>
        <description>The impact of aquatic ecosystems provisioning services on tourism in the Danube Delta

Constantin Cazacu, Cristian Mihai Adamescu (UB)

The Danube Delta is the second largest delta in Europe, after that of the Volga River and one of the best preserved in the world. The geomorphology of the area is formed by the dynamics of the river arms, low altitudes and the presence of the sea, creating a complex landscape of freshwater ecosystems (canals, shallow lakes, and wetlands), flood plains, alluvial …</description>
    </item>
    <item rdf:about="https://wikigbayprd.ethz.ch/doku.php?id=whale_watching_in_the_pelagos&amp;rev=1682083809&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-04-21T13:30:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>whale_watching_in_the_pelagos</title>
        <link>https://wikigbayprd.ethz.ch/doku.php?id=whale_watching_in_the_pelagos&amp;rev=1682083809&amp;do=diff</link>
        <description>Whale watching (Pelagos)

Kevin Flückiger, Ana Stritih (ETH Zürich)

The Pelagos Sanctuary is a marine protected area (MPA) in the Mediterranean Sea aimed to protect all marine mammals. Due to a combination of climatic, oceanographic and physiographic factors, the area has good conditions for the feeding and breeding habitat of several whale and dolphin species (Notarbartolo di Sciara and Reeves 2006). At the same time, it is surrounded by well-developed regions with high economic activity. For …</description>
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