Evaluating Modern Browser-Side Technologies for Scalable Geospatial Data Processing

Weather monitoring and forecasting systems have become increasingly sophisticated, and the spatial and temporal resolution of available data has grown substantially in recent years. At the same time, users now expect to access this complex geospatial information not only through desktop software but also through web browsers and smartphone applications.

Traditionally, computationally intensive tasks — e.g., generating contour lines, computing streamlines, performing colour-map transformations — are handled on backend servers. However, recent advancements in browser and mobile technologies (e.g., Web Workers, WebAssembly, WebGPU, GPU-enabled smartphones) support offloading certain computations to the client, potentially reducing server load, improving scalability, and providing more dynamic, responsive user experiences.

Project information

Status:

In progress

Thesis for degree:

Master

Student:

Thiri Shwe Sin

Supervisor:
Id:

2026-009