FDZ Studio

<!-- first page, leave blank; edit title & author (etc.) in _config.yml --> Notes: - visualization - bridge supporting cooperation

## How do we work? <span data-id="text-animation"> We integrate, analyse and <span><!-- .element: class="fragment ioergreen" -->visualise</span> spatial data to interpret the status quo, development dynamics and alternative future scenarios. </span> <!-- .slide: data-auto-animate --> Note: to start with, I want to go back to our statement,pick up one sentence how we introduce the assignments of rdc and so visualising geodata is part of our assignments. and for these tasks, ti intergrate, analyse and visualise geodata in different aspects, we have drafted our new website. as we presented in the first section

### RDC Componants <span data-id="text-animation">  </span> <!-- .slide: data-auto-animate --> --- <span data-id="text-animation">  </span> <!-- .slide: data-auto-animate --> -- <span data-id="text-animation"> <span> >The purpose of visualization is insight, not pictures. ><br>-<cite> Ben Shneiderman</cite> </span> </span> <!-- .slide: data-auto-animate --> <!-- ```graphviz digraph Orthogonal { nodesep=1.0 graph [color="#6E6E77",splines=ortho] node [color="#70A401",fontname="Droid Sans",shape=box] subgraph cluster_1 { label = <<b>Data</b>>; labelloc="b"; Dataverse; } subgraph cluster_2 { label = <<b>Visualizations</b>>; labelloc="b" Tools, Mapviewers, Showroom; } /* Increase the font size of FDZ using style attribute */ FDZ [fontsize="30pt", fontname=":bold"]; FDZ->{Dataverse, Mapviewers, Showroom, Tools} } ``` --> Note: -ongoing new website design, we want provide access to data repository, map viewers, ioer tools, and build up a showroom. so mainly two aspects, data publishing and visualization -while here the map viewers we indicate the web portals, where users are able to visually explore geodata of specific topics, and tools we mean by applications, which has visualization but also serve for simulation analysis like goats and floodbi so here we want to discuss about the visualisation to place in showroom, the visual presentation of the project results, to increase visibility of projects. so here is a widely cited quote summerizing the goal of visualization. so it's not giving beautiful pictures, we want to give insights with our visualisation. to illustrate this, I want to show some visualized project results, hope these can bring up more ideas.

<iframe class="stretch" width=100% height=100% frameBorder="0" data-src="https://alexanderdunkel.com/iframe_ioer.php?name=https://stadtklima-ioer-fdz-984dec570cb501cea92b3d4306028ac78273785c632.gp.hrz.tu-chemnitz.de/"></iframe> --- <iframe class="stretch" width=100% height=100% frameBorder="0" data-src="https://alexanderdunkel.com/iframe_ioer.php?name=https://landusedashboard-ioer-fdz-78cea03ed634871060afd2a44d00bc9aaef9b.gp.hrz.tu-chemnitz.de"></iframe> --- <video controls height=80%> <source data-src="http://www.ioer-monitor.de/fileadmin/user_upload/monitor/video/3D_SD_Video_timeslide.mp4 " type="video/mp4" /> </video> --- Other Potential Formats: - <!-- .element: class="fragment" --> Story Maps - <!-- .element: class="fragment" --> Dashboards - <!-- .element: class="fragment" --> and non-spatial data --- <iframe class="stretch" width=100% height=100% frameBorder="0" data-src="https://alexanderdunkel.com/iframe_ioer.php?name=https://ioer-isbe.de/ressourcen/bauwerksdaten/wohngebaeude/efh-deutschland"></iframe> --- <iframe class="stretch" width=100% height=100% frameBorder="0" data-src="https://alexanderdunkel.com/iframe_ioer.php?name=https://www.data-to-viz.com/"></iframe>

<section class="slide-coop fdlexp"> <div class="header-slide-coop"> Development of a German wide building material cadastre using a typology approach </div> <div class="left-section"> - Analysis of the building volume (LOD2) <spa><!-- .element: class="fragment" --></span> - Building typology <span><!-- .element: class="fragment" --></span> - Collection of geo-information - Selection and description of appropriate parameters to derivate building types - characterisation by information and geometry - Characterisation by deep learning methods - Building material analyses <span><!-- .element: class="fragment" --></span> - Building type related analysis of building material composition (raw material, waste categories, global warming potential) - Spatial Analysis to allocate the material composition </div> <div class="right-section">  <i class="fa-brands fa-python"></i> </div> </section> <!-- .slide: data-auto-animate --> --- <section class="slide-coop-bottom fdlexp"> <div class="left-section"> - Analysis of the building volume (LOD2)  - Building typology  - Collection of geo-information - Selection and description of appropriate parameters to derivate building types - characterisation by information and geometry - Characterisation by deep learning methods - Building material analyses  - Building type related analysis of building material composition (raw material, waste categories, global warming potential) - Spatial Analysis to allocate the material composition </div> <div class="right-section">  </div> <div class="bottom-section"> <span> <!-- .element: class="fragment" -->  </div> </span> </section> <!-- .slide: data-auto-animate -->

<section class="slide-coop" id="fdlexp"> <div class="header-slide-coop"> Assessing the change of ecosystem services between 2012-2022 <br>using fine scale canopy height model data in Munich, Germany </div> <div class="left-section"> Canopy Height Model München, 2012 & 2022  *Data: Markus Münzinger* </div> <div class="right-section"> Indicator to estimate climate regulation in cities ``` ### INDICATOR TO ESTIMATE CLIMATE REGULATION IN CITIES ### INDIKATOR ZUR BEWERTUNG DER KLIMAREGULATION IN STÄDTEN # SHORT DESCRIPTION OF THE INDICATOR # Using land cover type, percentage of tree canopy cover, and area size, a cooling capacity value (CCA value) # is determined for each area in # Cities with a population of 50,000 or more. By intersecting population data with cooling capacity information with # can be determined, # where residents are provided with cooling capacity by urban greenery and to what degree. # ENVIRONMENT OPTIONS / UMGBUNGSEINSTELLUNGEN # CheckOutExtension: only necessary when concurrent user license in ArcGISpro is used # [G] CheckOutExtension: muss nur angegeben werden, wenn eine "Concurrent-user-Lizenz" bei ArcGISpro vorliegt import arcpy import math from arcpy import env from arcpy.sa import * arcpy.env.parallelProcessingFactor = "100%" arcpy.env.overwriteOutput = True arcpy.CheckOutExtension("spatial") # YEAR / JAHR # Please replace according to the year you calculate # Bitte das Jahr entsprechend einstellen Jahr = "_2018" ``` *Script: Sophie Meier* </div> </section> <!-- .slide: data-auto-animate --> --- <section class="slide-coop-bottom" id="fdlexp-bottom"> <div class="left-section"> Canopy Height Model München, 2012 & 2022  *Data: Markus Münzinger* </div> <div class="right-section"> Indicator to estimate climate regulation in cities ``` ### INDICATOR TO ESTIMATE CLIMATE REGULATION IN CITIES ### INDIKATOR ZUR BEWERTUNG DER KLIMAREGULATION IN STÄDTEN # SHORT DESCRIPTION OF THE INDICATOR # Using land cover type, percentage of tree canopy cover, and area size, a cooling capacity value (CCA value) # is determined for each area in # Cities with a population of 50,000 or more. By intersecting population data with cooling capacity information with # can be determined, # where residents are provided with cooling capacity by urban greenery and to what degree. # ENVIRONMENT OPTIONS / UMGBUNGSEINSTELLUNGEN # CheckOutExtension: only necessary when concurrent user license in ArcGISpro is used # [G] CheckOutExtension: muss nur angegeben werden, wenn eine "Concurrent-user-Lizenz" bei ArcGISpro vorliegt import arcpy import math from arcpy import env from arcpy.sa import * arcpy.env.parallelProcessingFactor = "100%" arcpy.env.overwriteOutput = True arcpy.CheckOutExtension("spatial") # YEAR / JAHR # Please replace according to the year you calculate # Bitte das Jahr entsprechend einstellen Jahr = "_2018" ``` *Script: Sophie Meier* </div> <div class="bottom-section"> <span> <!-- .element: class="fragment" -->  </span> </div> </section> <!-- .slide: data-auto-animate -->

## For Discussion 1. How can your data be visualized? What is needed? --------------------------- 2. Where can further examples of cooperation be realised? Other examples from your work. What kind of support do you need from RDC?