Biography

Lenka Hasova is Research Associate at University of Bristol, currently working on Mapping Mmbient Vulnerabilities project.

Interests

  • Geography
  • Data Science
  • GIS

Education

  • PhD in Advanced Quantitative Methods, 2024

    University of Bristol

  • Geographic Data Science, 2018

    University of Liverpool

  • GIS, Cartography and Remote Sensing, 2017

    University of Ostrava

Skills

R

Statistics

Python

GIS

SQL

Cartography

Experience

 
 
 
 
 

Lecturer in Geographic Data Science

University of Bristol

2025 – Present Bristol
 
 
 
 
 

Research Associate

University of Bristol

2024 – Present Bristol
 
 
 
 
 

Geospatial Analyst & Data Scientist

Zsah

2022 – 2022 Bristol
 
 
 
 
 

Geospatial Analyst

Arup

2019 – 2019 Bristol

Recent Posts

Retrieving custom networks from OSM using Pyrosm and translating to Pandana and NetworkX

Here I show you an easy trick to retrieve completely custom networks from OSM, using Pyrosm, without extra packages and unnecessary …

Google Summer of Code 2021

Here I post about the progress, struggle and success of working on project under GSoC 2021

Calculating Walking distance in Python. Networkx vs Pandana.

This post will show you how you can calculate walking distances along OSM road network in matter of miliseconds.

Distribution of Children homes in Czech Republic

Extracting data from XML and geocoding adresses and creating maps

Global Food Hazard Network

An investigation into the identification network of global food hazards.

Recent Publications and research

Quickly discover relevant content by filtering publications.

Uneven ambient futures, Intersecting heat and housing trajectories in England and Wales

Despite being one of the key mechanisms via which people are exposed (or not) to uncomfortable or dangerous ambient environments—the …

Proximity and Distance Decay, chapter in GIS&T Body of Knowledge

Distance decay is an essential concept in geography. At its core, distance decay describes how the relationship between two entities …

Modelling Urban Flows, Spatial Effects in Origin-Destination data

This paper is an introduction of preliminary research for Ph.D. thesis ‘Machine Learning methods for Urban Flows, spatial effects …

Form and Function in Spatial Interaction - A New Approach to Spatial Structure

Gravity Spatial Interaction Models have been used consistently to model migration, commuting, and trade. However, classic gravity …