ANNA MISTERKIEWICZ.
Geospatial analysis · Remote sensing · Spatial research

Spatial thinking,
built into evidence.

I use GIS, remote sensing and spatial data to reveal patterns in landscapes and turn complex evidence into clear, defensible insight. I am now extending that foundation into geospatial AI.

View work
01 / SELECTED WORK

Evidence over claims.

MONGOLIA / LANDSCAPE RESEARCH
01

GIS · SATELLITE IMAGERY · SPATIAL ANALYSIS · RESEARCH

Landscape analysis in Mongolia

I contributed to research investigating Zuun Baruun Kherem, an archaeological landscape in Mongolia. Using QGIS, I interpreted city spaces through artefact distributions, examined satellite imagery for environmental change—including former riverbed movement—and produced hillshade views from photogrammetric surface models.

Outcome

The spatial interpretation and my pottery documentation were incorporated into a peer-reviewed research publication.

Explore project View publication
Topographic map of the Beauly, Moray and Cromarty Firths showing terrain, water and analysed locationsINVERNESS FIRTHS / TERRAIN & VISIBILITY02

ARCGIS · TERRAIN MODELLING · VIEWSHEDS · REMOTE SENSING

Terrain and visibility across the Inverness Firths

An independent GIS study of 24 locations across the Beauly, Moray and Cromarty Firths, combining elevation, satellite imagery, soils, hydrology and site records to test how terrain, water access and visibility shaped spatial patterns.

Outcome

The analysis identified water proximity as the most consistent spatial factor, compared cumulative viewsheds and produced evidence-led recommendations for further field research.

Explore project

Current focus

Environmental changeUrban analysisLandscape analysisRemote sensingGeospatial AI
02 / ABOUT

Spatial foundations.
A clear technical direction.

I bring a research foundation in GIS, remote sensing and spatial analysis to the next stage of my work in geospatial AI.

I focus on using remote sensing, Earth observation and GIS to identify meaningful spatial patterns and communicate how the evidence supports an interpretation. I am particularly interested in environmental change, urban space and landscape-scale analysis.

My foundation in geospatial technology developed through archaeology. During previous study and research, I used GIS, satellite imagery and spatial databases to examine landscapes and support evidence-based interpretation.

I am building on that experience through programming, data analysis and geospatial AI, with an emphasis on rigorous methods and work that can be clearly explained and reproduced. Programming is currently a beginner skill that I am developing deliberately.

2026 / FORWARD

MSc Geospatial Artificial Intelligence

Newcastle University

FOUNDATION

Archaeology

University of Aberdeen · Undergraduate and postgraduate study

03 / SKILLS

Tools, methods,
and practice.

01

Geospatial

QGIS · ArcGIS · Spatial analysis · Terrain modelling · Viewshed analysis · Spatial data management

Confident
02

Remote sensing

Satellite image interpretation · Environmental change analysis · SNAP

SNAP familiar · developing through projects
03

Survey & photogrammetry

Photogrammetric survey · Survey planning · Surface models · Hillshade visualisation

Confident
04

Programming

Programming fundamentals

Beginner
05

Research

Spatial interpretation · Artefact documentation · Academic research · Scientific communication

Every skill listed here is supported by practical use or is clearly marked as developing.