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<!DOCTYPE html>
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Methods
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Why BigGIS?
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Architecture
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Overview
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Components
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Platform bwCloud
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StreamPipes
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Project Consortium
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Contributing
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Data sources
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Data sources
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<a href="data-sources/" title="Datasets in BigGIS" class="md-nav__link">
Datasets in BigGIS
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Weather stations
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About demos ...
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<a href="demos/enviro-car/" title="EnviroCar (Smart City)" class="md-nav__link">
EnviroCar (Smart City)
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<a href="demos/gas-detect/" title="Gas Cloud Detection" class="md-nav__link">
Gas Cloud Detection
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<a href="demos/gas-predict/" title="Gas Cloud Prediction" class="md-nav__link">
Gas Cloud Prediction
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<a href="demos/heatstress/" title="Heatstress Routing App" class="md-nav__link">
Heatstress Routing App
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<a href="demos/hotspot_analysis/" title="Hotspot analysis (using G*)" class="md-nav__link">
Hotspot analysis (using G*)
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<a href="demos/invasive-spec/" title="Invasive species" class="md-nav__link">
Invasive species
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Landuse classification
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Optimal flight plan for drones
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Placement of sensors under uncertainty
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Stability of hotspots
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Urban Heat Islands
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Documentation Howto
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Methods
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Methods
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About this section
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Focal Getis-ord
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Why BigGIS?
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<h1 id="about-biggis">About BigGIS<a class="headerlink" href="#about-biggis" title="Permanent link">¶</a></h1>
<p>BigGIS is a new generation of GIS that supports decision making in multiple
scenarios which require processing of large and heterogeneous data sets.</p>
<p>The novelty lies in an integrated analytical approach to spatio-temporal
data, that are unstructured and from unreliable sources. The system provides
predictive, prescriptive and visual tool integrated in a common analytical
pipeline.</p>
<p><img alt="" src="./scenarios/img/scen-smartcity.svg" />
<img alt="" src="./scenarios/img/scen-environment.svg" />
<img alt="" src="./scenarios/img/scen-disaster.svg" /></p>
<p>The project is evaluated on three scenarios:</p>
<ul>
<li><a href="./scenarios/01_city">Smart city</a> (urban heat islands, particulate matter)</li>
<li><a href="./scenarios/03_env">Environmental management</a> (health threatening animals and plants)</li>
<li><a href="./scenarios/02_bos">Disaster control, civil protection</a> (air pollution, toxic chemicals)</li>
</ul>
<p>Please visit the <a href="http://biggis-project.eu">project website</a> for more
information as well as some interactive demos.</p>
<hr />
<p><img alt="BMBF logos" src="./BMBF-logos.png" /></p>
<h2 id="why-biggis">Why BigGIS?<a class="headerlink" href="#why-biggis" title="Permanent link">¶</a></h2>
<p>Current GIS solution are mostly tackling big data related requirements in
terms of data volume or data velocity. In the era of cloud computing,
leveraging cloud-based resources is a widely adopted pattern. In addition,
with the advent of big data analytics, performing massively parallel
analytical tasks on large-scale data at rest or data in motion is as well
becoming a feasible approach shaping the design of today’s GIS. Although
scaling out enables GIS to tackle the aforementioned big data induced
requirements, there are still two major open issues. Firstly, dealing with
varying data types across multiple data sources (variety) lead to data and
schema heterogeneity, e.g., to describe locations such as addresses, relative
spatial relationships or different coordinates reference systems. Secondly,
modeling the inherent uncertainties in data (veracity), e.g., real-world
noise and erroneous values due to the nature of the data collecting process.
Both being crucial tasks in data management and analytics that directly
affect the information retrieval and decision-making quality and moreover
the generated knowledge on human-side (value). By leveraging the the
continuous refinement model, we present a holistic approach that explicitly
deals with all big data dimensions. By integrating the user in the
process, computers can learn from the cognitive and perceptive skills of
human analysis to create hidden connections between data and the problem
domain. This helps to decrease the noise and uncertainty and allows to
build up trust in the analysis results on user side which will eventually
lead to an increasing likelihood of relevant findings and generated
knowledge.</p>
<h2 id="contact-and-support">Contact and Support<a class="headerlink" href="#contact-and-support" title="Permanent link">¶</a></h2>
<table>
<thead>
<tr>
<th>Role</th>
<th>Name</th>
<th>E-mail</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Contact person</strong></td>
<td>Prof. Dr. Thomas Setzer</td>
<td><a href="mailto:setzer@fzi.de">setzer@fzi.de</a></td>
</tr>
<tr>
<td><strong>Project coordination</strong></td>
<td>Dr. Viliam Simko</td>
<td><a href="mailto:simko@fzi.de">simko@fzi.de</a></td>
</tr>
</tbody>
</table>
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