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International Conference on Spatial Statistics and Predictive Modeling

ICSSPM

7th Oct – 8th Oct 2026 Bogota, Colombia

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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Terms & Condition

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 4 SDG 9 SDG 11 SDG 12
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.
SDG 9 SDG 11
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.
SDG 13 SDG 15
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.
SDG 11 SDG 11
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.
SDG 9 SDG 12
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.
SDG 9 SDG 17
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.
SDG 9 SDG 13
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.
SDG 11 SDG 16
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.
SDG 9 SDG 17
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.
SDG 4 SDG 11
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.
SDG 9 SDG 17
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.
SDG 9 SDG 11