Welcome! I’m an urban planner focused on leveraging data-driven insights with expertise in Street Network analysis, Big Data Analytics, Time Series Forecasting, Machine Learning, and Geospatial Analysis.

Tools

- Data Science Tools: Python, R (4 years of experience), SQL (1 year of experience)
- Geospatial Analysis - Open-Source Tools: Google Earth Engine, Python, R (4 years of experience)
- Geospatial Analysis Software: QGIS, ArcGIS (6 years of experience)

vid

Skills

🌍 Spatial Analysis & Remote Sensing

  1. 🗺️Street Network Analysis
    - Analyzed street patterns and assessed street forms that influence surface temperature.
    - Analyzed connectivity and pedestrian accessibility, identifying key areas.
    - Identified urban functionality through the relationship between streets and buildings.
    - Visualized street orientation and street geometry in ancient and hesitant areas.
    - Addressed pedestrian accessibility issues due to inadequate crossings.

  2. 🌡️ Climate & Natural Hazard Analysis
    - Visualized Land Surface Temperature (LST) and improved the scaling of multiple observation maps.
    - Visualized air pollution to identify environmental risks.
    - Visualized flood vulnerability to evaluate risks and assist in disaster preparedness.

  3. 🏙️ Urban & GeoSpatial Data Science
    - Applied NDVI, NDBI, and land cover classification to assess land use and environmental health.
    - Predicted land use patterns using deep learning and machine learning techniques.
    - Developed 3D models to visualize building density and infrastructure, providing insights into walkability and vehicular access.
    - Conducted a comprehensive site selection analysis for residential construction, considering critical factors such as elevation, slope, proximity to urban areas, roads, power network, and rivers; applied a weighted binary comparison matrix to identify and select the most suitable sites for development.
    - Visualized the spread of COVID-19 in various regions of Iran over several weeks.

  4. 🚗 Agent-Based Modeling
    - Developed models for traffic flow.
    - Created flood simulations to assess evacuation strategies during floods.

📊 Data Science

  1. 🤖 Machine Learning & Forecasting
    - Built and applied time series models to improve forecasting accuracy with a global scale dataset.
    - Enhanced regression time series predictions using Holt-Winters’ multiplicative smoothing.
    - Improved ARIMA time series predictions by incorporating external variables.

  2. 💾 Big Data Management
    - Managed and predicted outcomes using real-world datasets with numerous columns and limited rows.
    - Preprocessed, cleaned, and handled large datasets, ensuring data integrity for analysis.
    - Identified and analyzed interconnections across diverse data types.
    - Developed optimal strategies for forecasting large datasets, addressing real-world challenges like missing data and inconsistencies.

عکس پروفایل4

📚 My Publications

Research papers
- Chenary, K., Pirian Kalat, O., & Sharifi, A. (2024). Forecasting sustainable development goals scores by 2030 using machine learning models. Sustainable Development, 1–19. https://doi.org/10.1002/sd.3037. (Q1, IF:12.91)
- Chenary, K., Soltani, A., & Sharifi, A. (2023). Street network patterns for mitigating urban heat islands in arid climates. International Journal of Digital Earth, 16(1), 3145–3161. https://doi.org/10.1080/17538947.2023.2243901 (Q1, IF:3.7)

Book chapter
- Chenary, K., Abdi, M.H. (2024). Cities, Arid Climates and Shading: Persian Vernacular Building Responses. In: Cheshmehzangi, A., Roaf, S. (eds) Persian Vernacular Architecture. Urban Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-96-1116-4_11
Download

Conference paper
- Pirian Kalat, O., Chenary, K., GhaffarianHosein, A. (2025). Quantitative Impact of Key SDG Indicators on National Sustainability Scores in West Asia: A Comprehensive Analysis. Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024). SASBE 2024. Lecture Notes in Civil Engineering, vol 591. Springer, Singapore. https://doi.org/10.1007/978-981-96-4051-5_127. Download

🤝 Let’s Collaborate

I have had the opportunity to work with experts from Iran, Japan, Australia, Belgium, and New Zealand. I’m always open to research collaborations, innovative projects, or consulting opportunities.

<!DOCTYPE html>

Interactive World Map

📫 Get in Touch: [kimiachenary1@gmail.com]
🌐 More: [www.linkedin.com/in/kimiachenary]

⭐ Feel free to explore my repositories, and don’t forget to star what inspires you!