Geospațial Jobs

I have a single CSV file that contains a mix of numerical columns and categorical labels. Before I can move on to analysis, the data needs a solid clean-up: remove or impute missing values, fix obvious data-entry anomalies, standardise text categories, and ensure each field is in the correct type. Once the dataset is tidy, I want to explore it visually. I am especially interested in bar charts, line graphs and scatter plots that help surface the main trends and relationships hidden in the numbers and categories. Feel free to suggest any additional plots that would add real insight; however, the three mentioned above are the minimum I need delivered. Python with pandas, NumPy and either Matplotlib or Seaborn is perfectly fine, but I am open to R or another proven toolset if you prefer...

I need a professionally drafted plan that lays out exactly how our existing trees will be safeguarded before, during, and after upcoming site works. The document should identify every tree on the property, rate its condition, map root protection zones, and translate local regulations into clear instructions contractors can follow on-site. To keep everything unambiguous, please deliver: • A georeferenced tree survey with species, DBH, and condition notes • Scaled protection-zone drawings (CAD or GIS format plus PDF) • A step-by-step protection and monitoring schedule that spans pre-construction set-up through post-project aftercare • A brief summary of applicable municipal codes and how the plan complies Accuracy and practicality are more important than length...

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...

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...

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 ...