
Completed
Posted
Paid on delivery
Freelancer Advert: GIS / Spatial Data Analyst for Archaeological-Geology Pilot Study I am looking for a GIS / spatial data analyst to run a pilot spatial analysis for an archaeological and geophysical research project. The pilot question is: Do prehistoric monuments occur on high-resistivity geology, geological boundaries, faults, or other geophysical-coupling features more often than expected by chance?** This is a neutral hypothesis-testing project. I am not looking for someone to “prove” a theory. I need a competent analyst who can identify suitable open-source datasets, build a clean GIS workflow, run a proper spatial null model, and report the result honestly, whether positive, negative, or inconclusive. ## Core Pilot Task The minimum pilot test is: Compare prehistoric monument locations against geological substrate type and random control points. The analyst should: 1. Recommend a suitable study region outside the UK. * Possible examples: Brittany, Ireland, France, Spain, Portugal, or another region with strong monument-coordinate data and geological mapping. 2. Source open or publicly accessible monument coordinate data. 3. Source geological map data for the same region. 4. Classify geology into broad resistivity categories: * High-resistivity: granite, limestone, chalk, sandstone, quartzite, etc. * Low-resistivity: clay, mudstone, shale, alluvium, peat, etc. * Intermediate/uncertain: handled separately. 5. Overlay monument points on the geology layer. 6. Generate at least 10,000 random control points within the same valid study area. 7. Compare monument locations against the random controls. 8. Calculate enrichment ratio, confidence interval, and statistical significance. 9. Produce maps, tables, plots, and a short technical report. 10. Provide reproducible workflow files, preferably R/Python code plus GIS project files. Preferred Extended Analysis I am especially interested in applicants who can also test a broader geophysical-coupling model, not just simple resistivity. Where data are available, the extended model should include: * distance to faults, * distance to geological contacts or lithological boundaries, * distance to rivers, springs, wetlands, or coastlines, * elevation and slope, * magnetic anomaly strength or magnetic-gradient data, * bedrock type, * karst/cave/cavity-prone geology, * other structural or geophysical lineaments. The aim is to compare whether monument placement is better explained by: 1. simple high-resistivity geology, 2. proximity to geological boundaries, 3. proximity to faults or lineaments, 4. conventional landscape variables, 5. or a composite geophysical-coupling model. Required Deliverables The pilot should produce: * dataset source list with links/citations, * cleaned monument coordinate table, * classified geology layer, * random control-point layer, * GIS project file or GeoPackage, * map of monuments over geology, * map of random/control points, * table comparing real monuments versus controls, * enrichment ratio and statistical significance, * short technical report, * reproducible R/Python scripts or clearly documented GIS workflow. Important Requirements The analyst must: * use transparent and reproducible methods, * cite all datasets, * avoid cherry-picking, * include negative or null results if found, * identify confounding variables, * distinguish correlation from causation, * explain limitations clearly, * produce results that another analyst could check or rerun. ## Useful Skills Ideal experience includes: * QGIS, ArcGIS, GRASS GIS, or similar, * Python: geopandas, rasterio, shapely, scipy, scikit-learn, matplotlib, * R: sf, terra/raster, spatstat, tidyverse, ggplot2, * spatial statistics, * archaeological GIS, * geological mapping, * geophysical datasets, * Monte Carlo null models, * logistic regression or spatial regression. Application Questions Please respond with: 1. Which region you recommend for the pilot and why. 2. What monument dataset you would use. 3. What geology or geophysical dataset you would use. 4. How you would construct the random-point null model. 5. Whether you can include distance to faults/geological contacts. 6. Whether you can provide reproducible R/Python code. 7. Examples of similar GIS, archaeological, geological, ecological, or spatial-statistical work. 8. Estimated fixed price and timescale for the pilot. Budget I am initially seeking a fixed-price pilot. Please quote separately for: 1. basic resistivity/geology enrichment test, 2. extended model including faults, geological contacts, and landscape controls, 3. final report and reproducible code. A successful pilot may lead to further work across additional regions and related tests.
Project ID: 40513217
18 proposals
Remote project
Active 6 days ago
Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
18 freelancers are bidding on average £1,049 GBP for this job

Hello, I'm Sujeewa from GISPromo IT Solutions. I propose a pilot study in Brittany, leveraging robust monument and geological datasets. Using Python and ArcGIS, I'll create a reproducible GIS workflow to assess monument locations against geological substrates and random controls. The analysis will include enrichment ratios and statistical significance, with maps and a technical report. I can extend the model to include faults, geological contacts, and landscape variables, providing comprehensive insights. My experience in spatial statistics and archaeological GIS ensures a transparent, reproducible approach. I estimate a fixed price for the basic test and additional for the extended model and report. If this aligns with your needs, I’d be glad to discuss details and start right away. Best regards, Sujeewa, GISPromo IT Solutions
£1,150 GBP in 5 days
6.3
6.3

As much as I appreciate the fascinating nature of your project, however, I'm not the right fit for the job. My skills and experience revolve around implementing AI systems primarily in the field of end-to-end ERP infrastructure utilizing technologies like Odoo, IoT hardware, and mobile/ web deployment. Although it's not an ideal match for your needs this time, I firmly believe my own bounds augment where others lack. Should you have any future projects at the intersection of AI, ERP integration, hardware solutions or in need of deploying intelligent systems with real-time data response/validation that integrates with external systems (AWS/ GCP/ Azure), I’ll be more than willing to assist. With my strong command over tools like React, Flutter, Django, NodeJs and data visualization skills using Python coupled with my experience in deploying AI into production workflows makes me a great asset to have onboard a dynamic project like yours.
£1,125 GBP in 7 days
6.3
6.3

✋ Hi There!!! ✋ THE GOAL OF THE PROJECT:- GIS BASED SPATIAL STATISTICAL ANALYSIS OF PREHISTORIC MONUMENTS AGAINST GEOLOGY AND GEOPHYSICAL VARIABLES USING NULL MODELS AND REPRODUCIBLE WORKFLOWS I have carefully read project requirement and understand you need rigorous spatial analysis with transparent and reproducible GIS and statistical methods. I am best fit because I specialize in GIS data analysis, Python based spatial statistics and scientific data modeling workflows. • Build spatial dataset linking monument coordinates with geology and environmental layers • Generate Monte Carlo null models with 10000+ control points for statistical comparison • Deliver reproducible Python or R scripts with maps, reports and GIS project files I provide GIS analysis, data processing, statistical modeling, visualization, testing and full code delivery. I have 9+ years experience as a full stack developer and data analyst. I have completed similar spatial analysis and geodata science projects with scientific reporting. Looking forward to chat with you for make a deal Best Regards Elisha Mariam
£751 GBP in 11 days
4.6
4.6

I am a GIS and remote sensing specialist with over 10 years of experience. I can use Google Earth engine to run the analysis perfectly and I will do a good job for you
£1,000 GBP in 7 days
4.0
4.0

Hello, Jayant from Ontario. Here is my responsibilities, kindly let me know if you have any other question. Region: I recommend Ireland because it has strong open monument data, national geology layers, fault data, and enough prehistoric sites for a fair pilot. Monument dataset: National Monuments Service Archaeological Survey of Ireland, filtered for prehistoric monument types. Geology dataset: Geological Survey Ireland bedrock geology and fault layers, plus open elevation, river, coastline, and slope data if needed. Random null model: I’ll create a valid study area, generate 10,000 plus random control points, overlay both monuments and controls on geology, then compare results using enrichment ratio, confidence interval, and significance testing. Faults and contacts: Yes, I can calculate distance to faults and geological contacts for both monuments and random controls. Reproducible code: Yes, I can provide Python or R code, plus QGIS or GeoPackage files. Similar work: I’ve done GIS overlay, spatial statistics, random point models, environmental comparison, and map based reporting projects. Price and timeline: Basic test: $750, 7 to 10 working days. Extended model: $1,400, 12 to 15 working days. Final report and reproducible code: $350, 3 to 5 working days.
£1,125 GBP in 7 days
2.0
2.0

Dear Valued Client, As a Senior Software Engineer and Data Analyst with over 15 years of experience in Python, GIS, spatial statistics, data visualization, and scientific research workflows, I am highly interested in supporting your archaeological-geology pilot study. I can deliver a transparent, reproducible analysis using Python (GeoPandas, Rasterio, SciPy, Scikit-learn) and GIS tools such as QGIS. My approach will include robust random-point null models, geological classification, Monte Carlo testing, enrichment analysis, confidence intervals, spatial regression, and clear documentation of assumptions, limitations, and potential confounding factors. I fully support an evidence-based methodology and will report positive, negative, or inconclusive findings objectively. I can provide reproducible code, GIS project files, statistical outputs, maps, technical reports, and recommendations for both the basic resistivity analysis and the extended fault, geological contact, and landscape-variable models. I also provide FREE consultation and 2 years of FREE ongoing support covering methodology reviews, code maintenance, optimization, and future analytical enhancements. Kind regards, Senior Software Engineer
£750 GBP in 7 days
0.0
0.0

With two decades of experience straddling academia and software engineering, I bring a unique blend of skills to your project that’s hard to come by. As a Computer Science graduate, I am well-versed in Python - a valuable asset for this project - and have an extensive background in AI and Machine Learning, which is immensely relevant when crafting predictive models and analyzing datasets. Moreover, my deep understanding of the principles of spatial analysis coupled with proficiency in tools like QGIS and ArcGIS makes me an ideal candidate for your work. Notably, I've spent considerable time during my career developing full-stack SaaS applications matching the scale of this project, as well as custom AI tools, database design, and management - all instrumental for its success. An important bonus of my background is that I am passionate about maintaining transparency and reproducibility in research methodology ensuring that all steps can be properly evaluated or replicated. To address your query: I recommend Ireland as the study region due to its rich monument-coordinate data and well-documented geological mapping. Furthermore, given that your project does not demand a predisposed conclusion and rather prioritizes honest reporting of results, it perfectly aligns with my values about approaching research without preconceptions.
£750 GBP in 7 days
0.0
0.0

Hi there, I just read your posting. It sounds like you need an experienced GIS and spatial data analyst to design a reproducible workflow, perform rigorous spatial hypothesis testing, and evaluate whether prehistoric monument locations are associated with geological or geophysical features beyond random expectation. I am a software engineer with 10+ years of experience working with spatial data, Python-based analysis, and data-driven research workflows. I have experience with GeoPandas, Shapely, Rasterio, QGIS, spatial statistics, Monte Carlo simulations, and reproducible analytical pipelines. For this project, I can identify suitable open datasets, construct the geology classification framework, generate statistically valid random-point controls, calculate enrichment metrics and significance tests, and deliver maps, visualizations, technical reports, and reproducible Python workflows. I can also extend the analysis to faults, geological boundaries, elevation, hydrology, and other spatial variables while clearly documenting assumptions, limitations, and potential confounders. Let me know if my profile looks interesting, and we can set up a time to talk. Best regards, Elijah M.
£1,300 GBP in 8 days
0.0
0.0

Hi, I am very pleased to be able to contribute to your project. Uncovering the geophysical connections of prehistoric sites is a truly fascinating endeavor! Based on my extensive knowledge of Python, I possess the capabilities to perfectly meet your project requirements. I have a long-standing passion for data analysis and have steadily developed my expertise in data science over the past few years. For your project, I recommend the Brittany region as the research area, as it possesses rich archaeological coordinate data and detailed geological maps. I promise to provide not only technical reports specifying clear limits and the necessary deliverables—including maps, tables, and graphs—but also fully documented and reproducible R/Python scripts or GIS workflows that can be easily verified by other analysts. I am confident that my solid technical skills, commitment to transparency, and methodology-driven approach will provide valuable insights into your research. Let's harness the power of spatial data analysis together! Tony.
£1,500 GBP in 10 days
0.0
0.0

Hi, I have experience with GIS analysis, spatial statistics, Python, QGIS, geological mapping, and data visualization. I can help conduct this pilot study by sourcing suitable monument and geology datasets, building a reproducible spatial workflow, generating random control points, performing statistical analysis, and producing maps, reports, and documented code. I can also extend the analysis to include faults, geological boundaries, hydrology, elevation, and other geophysical variables. All methods will be transparent, reproducible, and objectively reported. I would be happy to discuss the study scope, timeline, and deliverables.
£1,125 GBP in 7 days
0.0
0.0

Sheffield, United Kingdom
Payment method verified
Member since Dec 10, 2025
£250-750 GBP
£750-1500 GBP
₹1500-12500 INR
€250-750 EUR
$10-30 USD
$250-750 CAD
₹750-1250 INR / hour
₹750-1250 INR / hour
$25-50 USD / hour
$30-250 USD
₹12500-37500 INR
₹600-1500 INR
₹750-1250 INR / hour
₹12500-37500 INR
£10-20 GBP
₹1500-12500 INR
$10-30 USD
$5000-10000 USD
₹250000-500000 INR
$30-250 USD
₹37500-75000 INR
₹750-1250 INR / hour