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This project visualizes Bangladesh’s international flight routes on a dynamic Leaflet map using interactive, curved spatial lines and airport points. It features multi-layer map styles, smooth hover effects with detailed popups, and a legend highlighting key airports. A live flight radar widget is embedded to provide real-time air traffic data over Bangladesh, making the map informative and engaging. This tool is a powerful visualization for aviation analysis, travel planning, and geospatial storytelling.

Interactive Map link

Go to the GitHub Repo

How I built it (in a nutshell):

1. Set Up Your Environment

Install needed packages by running:

Install R and RStudio (if not installed).

install.packages(c("tidyverse", "sf", "leaflet", "htmltools", "htmlwidgets", "viridis", "geosphere"))

2. Prepare Your Data

• Download the shapefile for Bangladesh administrative boundaries.
• Download airport and route data (e.g., from OpenFlights: airports.dat, routes.dat).
• Read the shapefile with sf::st_read().
• Load airports and routes as CSV using. read.csv().

3. Filter and Clean Data

• Filter airports for Bangladesh only (Country == "Bangladesh").
• Select international routes starting from BD airports and going outside airports with no stops.
• Join the airport info to the routes for coordinates.

“This Map is Built using the help of AI. Use AI if you can controll the command.”

4. Create Curved Flight Lines

• Use geosphere::gcIntermediate() to create smooth curved paths between the origin and destination airports.
• Convert these to sf spatial lines (st_linestring).

5. Build Your Leaflet Map

• Initialize leaflet with desired base maps (e.g., CartoDB.DarkMatter, Esri.WorldImagery).
• Add the Bangladesh polygon shapefile with a semi-transparent fill.
• Add curved flight lines with color coding by source airport, dashed lines, and pop-up info.
• Add airport points (circles) with hover tooltips using sticky labels.
• Use invisible, thicker lines under flight routes to improve hover sensitivity.

6. Add Interactivity

• Add JavaScript event handlers via htmlwidgets::onRender() to:
  • Highlight flight lines on hover with a thicker blue dashed style.
  • Show/hide popups smoothly.
• Use sticky labelOptions(sticky = TRUE) on airports to avoid flickering hover popups.

7. Add Title and Legend

• Use leaflet::addControl() to add a bold title at the top center.
• Use leaflet::addLegend() to show color-coded BD airports with full names.

8. Embed Live Flight Radar Map

• Embed an iframe from a flight radar website (like AirNavRadar) in a Leaflet control at the bottom left.
• Resize iframe (e.g., 350×270 px) to fit nicely inside the map.
• Style iframe container with border and rounded corners.

9. Save and Share

• Save your map as a self-contained HTML file using. htmlwidgets::saveWidget().
• Open in any browser to explore and share.

10. Tips for Improvement

Experiment with other airport or flight data sources.

Adjust hover sensitivity by adding invisible, thicker lines under routes.

Use sticky labels to smooth the airport name hover.

Customize colors and line styles with colorFactor() and dashArray.

Explore more Leaflet providers for different map styles.

This project presents a high-resolution soil type map of Bangladesh using FAO’s global soil dataset and the DOMSOI classification system. Developed in ArcGIS Pro, the map highlights the spatial variability of soils and supports evidence-based decision-making for sustainable agriculture, climate resilience, and environmental planning. The result is a visually compelling and data-rich tool useful for urban planners, agronomists, and GIS professionals.

How I built it (in a nutshell):

🗂 Step 1: Collect Data

• FAO Soil Data:
  • Download from FAO Soil Portal
  • Choose raster data or vector soil polygons depending on availability and classification resolution.
• Bangladesh Administrative Boundary:
  • Source from GADM or Bangladesh Geoportal.
• DOMSOI Classification Scheme:
  • Use documentation or tables that define soil types based on FAO soil unit codes (e.g., texture, fertility, water retention).

🧹 Step 2: Set Up the ArcGIS Pro Project

• Open ArcGIS Pro and create a new project.
• Import:
  • Soil data layer (raster or vector)
  • Bangladesh boundary shapefile
• Define a consistent Coordinate System (e.g., WGS 1984 UTM Zone 46N).

🧭 Step 3: Clip Soil Data to Bangladesh

• Use Geoprocessing Tools → Extract by Mask or Clip (if vector) to limit the soil dataset to the national boundary.
• This ensures the map focuses only on Bangladesh.

🧪 Step 4: Apply DOMSOI Soil Classification

• Add a new field to the soil layer for DOMSOI classification.
• Use Field Calculator or Join Tables (based on FAO soil unit code) to assign DOMSOI categories.
• Optionally, use Symbology → Unique Values to visualize different soil types with distinct colors.

🗺 Step 5: Style the Map

• Add:
  • Base Map (e.g., Topographic or Terrain)
  • Labels for administrative boundaries
  • Legend, North Arrow, Scale Bar
• Use Layout View to create a printable or exportable map layout.

📤 Step 6: Export the Map

• Export to:
  • High-Resolution PNG/JPEG via Share → Export Layout
  • PDF for reports and presentations
• Upload image to cloud hosting (e.g., jmp.sh) for easy sharing.

“Where data meets dirt, insights grow.”

I recently created a unique hydrological basin map of Bangladesh using ArcGIS Pro—a project that combines data precision with creative visualization. Starting with raw hydrological data (watersheds, rivers, lakes, and DEM), I processed and symbolized each layer to highlight the intricate water systems of the region. What makes this project stand out is its focus on clarity and usability, blending aesthetic design with technical accuracy. This map not only showcases Bangladesh’s hydrological features but also serves as a valuable resource for environmental planning and research. Dive into the details of how I brought this vision to life!

How I built it (in a nutshell):

1️⃣ Data Collection: Sourced global hydrology datasets (HydroSHEDS, HydroRIVERS) and a 30m-resolution Digital Elevation Model (DEM) from OpenTopography.

2️⃣ GIS Processing: Merged basin polygons, clipped DEM/river layers to Bangladesh’s extent, and classified river orders (1-6) for dynamic symbology.

3️⃣ Visualization: Applied custom glow effects for rivers, labeled key cities/lakes, and designed a sleek layout with hillshading for topographic depth.

4️⃣ Validation: Cross-referenced with satellite imagery and local hydrology reports for accuracy.

“Where Hydrology Meets Art: A Technically Robust, Visually Stunning Basin Map”

Key Insights and Outcomes for Portfolio

1. Data Integration: Successfully combined multiple datasets, including watersheds, rivers, lakes, and DEM, to create a comprehensive hydrological map.
2. Technical Expertise: Utilized advanced tools in ArcGIS Pro, such as clipping, hillshade generation, and layer symbology, to enhance map accuracy and aesthetics.
3. Unique Contribution: Highlighted Bangladesh’s hydrological basins in a way that balances technical detail with visual appeal, making it accessible for both experts and non-experts.
4. Practical Applications: The map can be used for environmental studies, flood risk assessments, and sustainable water resource management.
5. Creative Symbolization: Employed innovative labeling and styling techniques to ensure clarity and readability, setting this project apart from standard hydrological maps.