Insights & field notes.
Geospatial deep-dives, project stories and practical guides from the Cartolytic team.
How GIS Data Helps Real-Estate Developers Find Suitable Parcels
Site selection is a spatial problem, yet most teams still run it on spreadsheets. Here is how GIS data layers, suitability scoring, and interactive web maps turn parcel screening into a fast, defensible process.
Accurate GIS Estimations in Carbon Credits: A REDD+ Case Study on the Chaco Vivo Project
Why the credibility and volume of REDD+ carbon credits depend on rigorous GIS and remote sensing, illustrated through the Chaco Vivo project in Paraguay's Gran Chaco.
Mapping and Spatial Analysis in Decision-Making: A Market Analysis Perspective
Most business data carries a location, yet most decisions ignore it. This article shows how mapping and spatial analysis turn "where" into a measurable decision variable — especially for market and trade-area analysis.
Solar Farm Site Selection with GIS
Utility-scale solar siting is a constrained multi-criteria problem: screen a whole region, exclude the impossible, then rank the survivors by irradiance, terrain and grid distance. Here is how we do it with GIS.
From Static Report to Interactive Web Map
A PDF freezes one snapshot of an analyst's assumptions. An interactive web map lets stakeholders explore the evidence, check their own sites, and trust the answer. Here is why the format is part of the value — and how Cartolytic delivers analysis as living maps.
Multi-Criteria Decision Analysis (MCDA) in GIS, Explained
MCDA is the engine underneath most site suitability work. This guide walks the full pipeline — constraints, standardisation, weighting, aggregation — and the discipline that separates a trustworthy model from a pretty one.
Machine Learning Models on Satellite Data for Detection
How deep learning turns satellite imagery into reliable detections — from segmentation and object detection to Earth-observation foundation models — and the validation rigour that makes the results trustworthy.
Flood & Climate Risk Mapping for Property, Lenders & Insurers
Flood and climate risk is an invisible liability on the balance sheet. GIS turns hazard data into expected-loss and exposure scores that lenders, insurers and property buyers can actually price.
Trade Area & Drive-Time Analysis for Retail & Franchise
A radius is usually a lie. Real customers travel on the road network, so a defensible trade area is a drive-time isochrone — and getting that shape right changes every downstream number, from demand to cannibalisation.
Land Cover Classification & Change Detection from Satellites
How raw satellite imagery becomes thematic land cover maps, how you measure classification accuracy honestly, and how time-series algorithms reveal deforestation, urban growth and other change over decades.
What Goes Into a GIS Suitability Project (and How to Scope One)
A candid, end-to-end walkthrough of what a GIS suitability engagement actually involves — scoping, data, method, analysis, quality and delivery — plus what drives cost and timeline and what to prepare before you hire an analyst.
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