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I have five years of hourly CAAQMS readings (2022-2026) from every monitoring station in Bihar and now need a forward-looking spatio-temporal model that projects the state-wide Air Quality Index through 2036. The variables I want carried through the workflow are NO2, SO2, temperature, relative humidity, and PM10. Main aim is LULC By taking parameters like (Barren land , agriculture,rivers ,roads) in fish frid net model and also mapping of SO2 AND NO2 All work must stay inside ArcGIS Pro, relying on the Geostatistical Analyst extension for variogram fitting, kriging, and trend surface generation. Before any modelling begins, please run data cleansing, normalisation, and spatial-temporal interpolation so that missing or erratic values do not distort the forecast. Deliverables • A file geodatabase containing the cleaned 2022-2026 input layers, intermediate surfaces, and ten yearly AQI prediction rasters (2027-2036) at a resolution suitable for district-level policy work. • A Geostatistical Analyst layer file (.lyr) or open GDB kriging model that can be rerun when new data arrive. • A brief method note (PDF or DOCX) summarising preprocessing choices, semivariogram parameters, validation statistics (e.g., RMSE, ME), and any ArcPy snippets you used so that results remain reproducible. I will test the deliverables by rerunning the saved model on a withheld subset of the 2026 data; accuracy within industry-standard error bounds will serve as acceptance criteria. Let me know your estimated turnaround and any clarifications you need.
Project ID: 40550285
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Active 7 days ago
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5 freelancers are bidding on average ₹3,521 INR for this job

As someone who has spent 17+ years specializing in software development, particularly in areas that include Python Scraping and Automation, I am confident that my skills and experience align perfectly with your project. Having a team of experts that have worked on projects as diverse as Cryptocurrency, Stock Trading Software, Product Scrapping and more, we are well-rounded in adapting to different data types and finding unique solutions that cater to your specific needs. Furthermore, our experience with Python programming lends itself well to your project's demands. Throughout my career, I've always prioritized data cleansing and normalization -- key aspects of this project -- to ensure accuracy and reliability. Additionally, my proficiency with tools like ArcGIS Pro combined with Geostatistical Analyst extension falls perfectly in line with the requirements. I understand the significance of reproducibility for you; thus, you can count on me to provide a comprehensive method note to maintain transparency and ease future model verifications.
₹1,500 INR in 7 days
6.3
6.3

Hi sir, Thank you for giving opportunity for biding... we have gone through your requirements and we can build your Bihar AQI Forecasting state-wide Air Quality Index according to your exact requirements. Why You Need To Go With Us? And What Special you get with us. • Your vision = Our mission • Your idea + Our expertise = Winner on Web • Cutting edge web technology & design • Innovative, Cost effective & Customized service • Pragmatic Approach • Constant communication with clients • Consistent performance • On-time delivery • Maintenance of global quality standards • Your online business + Our experience = Your success Python, Data Analytics, Data Science, AI/ML, AI Automation, AI AGENT Portfolio IoT Data Analysis for Dairy Refrigerator Temperature Monitoring Real-time Object Detection using OpenCV and YOLO Supply Chain Management System Enterprise Data Warehouse Implementation Cloud Data Lake Migration Web Application Development for Wind Turbine Performance Prediction Data Analytics Platform for Supply Chain Optimization AI Bill System AI Try Dress
₹12,500 INR in 8 days
4.4
4.4

Hi, I can develop a complete spatio-temporal AQI forecasting workflow in ArcGIS Pro using Geostatistical Analyst, ArcPy, Python, Spatial Analysis, Kriging, Variogram Modeling, and GIS. I have experience with air quality analysis, spatial interpolation, LULC mapping, raster processing, and geospatial data modeling. The solution will include data cleaning, normalization, spatial-temporal interpolation, AQI prediction, LULC analysis using fishnet grid modeling, SO₂ and NO₂ mapping, yearly prediction rasters, reproducible geostatistical models, and complete documentation with validation metrics and ArcPy scripts. Please let me know further. Thanks.
₹1,500 INR in 4 days
3.6
3.6

I'll build your 10-year Bihar AQI forecast using ArcGIS Pro's Geostatistical Analyst. My workflow: ingest your 2022-2026 CAAQMS hourly data, run spatial-temporal cleansing and normalization in Python/ArcPy to flag and interpolate gaps, then fit semivariograms and kriging models for NO2, SO2, PM10, temperature, and humidity across your monitoring stations. I'll integrate LULC parameters (barren land, agriculture, rivers, roads) into a fishnet-based model for district-level analysis. Deliverables include a file geodatabase with cleaned inputs and 10 annual prediction rasters (2027-2036), a saved kriging model layer file for rerunning, and a method note with preprocessing decisions, semivariogram stats, RMSE/ME validation, and ArcPy code snippets. I'll validate against your 2026 holdout data to confirm accuracy within standard error bounds.
₹606 INR in 7 days
0.0
0.0

Patna, India
Member since Jun 30, 2026
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