Cartography & Maps Jobs

I need a 12-slide Google Slides presentation analyzing Copenhagen using maps. The project has two parts: base maps (first 6 A slides + 6 B support slides) and combined/theme maps (final slides). The focus is on showing spatial relationships through clean, consistent maps, not heavy text. GENERAL REQUIREMENTS: Use Google Earth screenshots as base maps Keep same crop, scale, and alignment across all A slides Trace elements using: Red = boundary Blue = water Green = parks Yellow/orange = roads Different colors for transit lines Each A slide: Large dominant map (70–80% of slide) Title at top center Scale bar bottom right 1–3 short observation sentences Each B slide: Image-based references (maps, aerials, diagrams) Minimal text (1 short explanation) Clean, minimal, professional des...

I have a cleaned set of demographic point data and I need it transformed into meaningful, predictive maps. Using ArcGIS (Desktop or Pro), I want you to run a full geostatistical workflow—variogram modelling, kriging (or the most suitable interpolator), cross-validation and accuracy reporting—to reveal and visualise the underlying spatial patterns. The ultimate goal is to understand where demographic concentrations are likely to rise or fall across the study area so that I can guide planning decisions with confidence. Your experience with the Geostatistical Analyst and Spatial Analyst toolsets will be crucial. If you normally script parts of the process in ModelBuilder or Python/ArcPy, feel free, as long as the chain of steps is documented inside the project. Deliverables &b...

I'm looking for detailed flood risk maps for the Limburg flooding in 2021. These maps will be used to understand the impact and aid in future planning. Requirements: - Type: Flood risk maps - Include: - Water depth levels - Affected areas - Data Sources: - Satellite imagery - Historical flood data Ideal Skills & Experience: - Expertise in GIS software - Experience with satellite imagery and historical data integration - Ability to create clear, informative maps

I need you to visit active rice-growing areas across Liberia and Guinea, stand on each farm, and record an accurate GPS point. Every point you collect will eventually feed into an agronomic mapping project, so positional accuracy matters: please rely on a handheld GPS receiver or a smartphone app that can export KML with at least 5 m precision. Once you finish a day in the field, save the coordinates directly to KML. All points should carry a short, clear label—farm name or a local reference is fine—so I can later match them with my own database. If you can easily capture extra details such as farm size, owner name, or rice variety, feel free to include them as extended attributes in the KML, but my core requirement is the position itself. The work is entirely on-site; satell...

Senior Geospatial Engineer (Python + PostGIS) Overview We’re building a high-performance mapping platform that allows users to draw areas on a map and instantly return accurate address counts. We hold a dataset of 30M+ UK addresses (lat/lng) and need to ensure queries are fast, scalable and highly accurate. What we need We’re looking for a senior geospatial engineer to work alongside our developer and help refine the architecture and implementation. Scope of work Optimise spatial queries across large datasets (30M+ points) Ensure near-instant response times Implement best practices for spatial indexing (PostGIS / GiST) Support handling of: Polygons Radius queries Buffers (routes) Boundaries GIS uploads (GeoJSON / shapefiles) Ensure consistent accuracy across all query type...

I’m building a lightweight, peer-to-peer platform that lets travellers explore camping and parking spots across Australia on an interactive Mapbox map. When a user lands on the home page they should immediately see the full-screen map with clickable markers; selecting a marker opens a pop-up that displays the site description, a small photo gallery, and the land owner’s contact details. Search and discovery • A simple location filter (state, region or postcode) helps visitors focus on areas of interest. No other filters are required at this stage. • No booking engine is needed; the goal is purely discovery and direct owner contact. Member areas Land owners will have a paid-subscription dashboard where they can submit, edit and manage their listings (text, ...

Freelancer Wanted: Australian Geographic Data & Mapping Web App We're looking for an experienced full-stack developer to build a sophisticated geographic data visualisation platform focused on Australia. This is a substantial project with multiple stages, and we're looking for someone who can commit to seeing it through end to end. What you'll be building A web-based mapping and data tool that lets users explore census and other datasets across Australian geographic areas — from the national level right down to individual mesh blocks. Think of it as a customisable, interactive community insights platform. Stage 1 – Geography layer Build on a Google Maps base and load in the full suite of 2021 ABS geographic boundaries, including mesh blocks, SA1s, SA2s, SA...

I need an on-site check ofan address in Kuwait. Once I share the exact address, please visit the location, confirm the street details on-the-ground, and capture visual proof that the storefront appearance matches the address provided. During your visit: • Take 10–15 clear, GPS-tagged photos covering the full exterior, entrance, visible street number, and any distinguishing features. • Grab a live Google Maps screenshot on your phone that shows your current dot directly over the . Deliverables I expect: 1. A brief confirmation statement (correct / incorrect address) with any relevant notes. 2. The original GPS-embedded photos. 3. The Google Maps screenshot. No editing or compression, please—raw files only so I can verify the metadata. Let me know your avai...

Job Title: Python Developer for Geophysical Data Analysis (K-Means Clustering & 3D Visualization) Project Overview: I am a Geophysics student working on a structural mapping project of the Red Sea Rift. I have a dataset of 50 years of earthquake records (USGS CSV format) and need a Python expert to build a machine learning workflow that clusters these events based on their seismic attributes to identify hidden fault structures. Scope of Work: Data Pre-processing: Clean a USGS earthquake catalog and perform feature scaling on four specific attributes: Latitude, Longitude, Depth, and Magnitude. Unsupervised Machine Learning: * Implement K-Means Clustering to group seismic events. Provide an Elbow Method plot to justify the optimal number of clusters (K). 3D Visualization: * Create ...