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UID:pretalx-qgis-uc2026-JVFUGP@talks.osgeo.org
DTSTART;TZID=CET:20261006T150000
DTEND;TZID=CET:20261006T153000
DESCRIPTION:Communication networks are often understood as immaterial flows
 —continuous\, invisible\, and detached from the physical world. This pro
 ject challenges that assumption by showing how signal is shaped by\, and e
 ntangled with\, terrain\, infrastructure\, and socio-economic conditions.\
 n\nThe presentation will introduce a QGIS-based workflow that approaches t
 elecommunication networks as spatial fields rather than abstract coverage.
  Using South Korea as a case study\, multiple layers—including elevation
  (DEM)\, existing cell tower locations\, population density\, and proximit
 y to maintenance and environmental resources—are brought together. Throu
 gh viewshed analysis and multi-criteria mapping\, these layers are combine
 d to show how signal distribution is conditioned by geomorphology\, access
 \, and infrastructural logic.\n\nInstead of treating signal as uniform\, t
 he research demonstrates how it is unevenly produced. Mountain ranges\, ur
 ban density\, and infrastructural clustering generate patterns of amplific
 ation and attenuation\, creating differentiated zones of visibility and ac
 cess. What appears continuous at the network level becomes highly variable
  when understood spatially.\n\nThis framework is then extended to the leve
 l of the user. Network performance is not only shaped by physical infrastr
 ucture\, but also by economic structures embedded in mobile data plans. Di
 fferent pricing tiers offer varying speeds\, priorities\, and levels of se
 rvice\, meaning that the same location can produce different experiences o
 f connectivity. By relating infrastructural conditions to these tiers\, th
 e workflow begins to map how signal is not only distributed across space\,
  but also stratified across users.\n\nComing from a design and architectur
 e background\, my research approaches QGIS not only as an analytical tool 
 but as a way to make invisible systems legible. The goal is to visualize r
 elationships that are typically treated as disconnected: between signal an
 d terrain\, infrastructure and population\, and network access and economi
 c differentiation\, forming a basis for targeted spatial interventions and
  more informed infrastructure planning.\n\nThe presentation will walk thro
 ugh the following QGIS pipeline:\n1. assembling and structuring multi-laye
 r spatial datasets\n2. performing viewshed analysis for terrain-based sign
 al modeling\n3. integrating physical and infrastructural factors into comp
 osite suitability maps\n4. extending the analysis to user-level variation 
 through pricing tiers\n\nMore broadly\, this work highlights a particular 
 way of using QGIS: not just to map what is already known\, but to reveal s
 patial systems that are typically unseen or assumed to be immaterial. Even
  when data is partial or restricted\, QGIS offers a set of geoprocessing t
 ools that allow for creative combinations\, inference\, and experimentatio
 n\, opening up ways to understand systems that cannot be directly observed
 . In this sense\, QGIS becomes a tool for discovery\, capable of generatin
 g new spatial readings and informing how we understand and intervene in ev
 eryday environments shaped by invisible infrastructures.
DTSTAMP:20260724T214519Z
LOCATION:Pegna
SUMMARY:Terrain\, Signal\, and Access: Spatial Analysis of Telecom Networks
  in QGIS - Kyungmin Kim
URL:https://talks.osgeo.org/qgis-uc2026/talk/JVFUGP/
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