Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 15 — Life on Land
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
Advancements in Spatial Statistics
This track focuses on the latest methodologies and innovations in spatial statistics. Researchers are encouraged to present their findings on novel statistical techniques that enhance spatial data analysis.
Track 02
Geostatistics in Environmental Sciences
This session will explore the application of geostatistical methods in environmental research. Topics may include soil contamination, air quality modeling, and ecological assessments.
Track 03
GIS Analytics for Urban Planning
This track examines the role of GIS analytics in urban development and planning. Contributions should highlight case studies that demonstrate the impact of spatial analysis on urban decision-making.
Track 04
Spatial Data Mining Techniques
This session invites papers that delve into spatial data mining approaches and their applications. Researchers are encouraged to discuss algorithms and tools that uncover patterns in spatial datasets.
Track 05
Geoinformatics and Big Data
This track addresses the integration of geoinformatics with big data technologies. Presentations should focus on how large-scale spatial data can be effectively managed and analyzed.
Track 06
Predictive Modeling in Geospatial Contexts
This session will cover predictive modeling techniques specifically tailored for geospatial data. Participants are invited to share their methodologies and results in forecasting spatial phenomena.
Track 07
Spatial Decision Support Systems
This track explores the development and implementation of spatial decision support systems. Papers should discuss frameworks that facilitate informed decision-making using spatial data.
Track 08
Geospatial Modeling Tools and Applications
This session focuses on the latest tools and software for geospatial modeling. Contributions should highlight innovative applications and user experiences with these technologies.
Track 09
Statistical Mapping Techniques
This track invites discussions on statistical mapping methodologies and their applications in various fields. Researchers are encouraged to present their work on visualizing spatial data effectively.
Track 10
GIS for Data Science: Integrating Spatial and Non-Spatial Data
This session examines the intersection of GIS and data science, focusing on techniques that integrate spatial and non-spatial data. Papers should highlight innovative approaches to enhance data analysis.
Track 11
Geospatial AI and Machine Learning
This track explores the integration of artificial intelligence and machine learning within geospatial contexts. Researchers are invited to present their findings on how these technologies can improve spatial analysis and prediction.