Skip to content

Visualize and analyse high dimensional scientific data using topological 1D landscape profile.

Notifications You must be signed in to change notification settings

nikiyadav/1D-landscape-profile

Repository files navigation

AIM : To visualize and analyse high dimensional scientific data using topological
1D landscape profile.

Input: Join Tree generated using code available at https://github.com/harishd10/contour-tree
	Two files are taken: model.rg.txt and model.part.txt

How to run:
1. command to run createjson.py
	python createjson.py model.off model.rg.txt model.part.txt > model.json

2. put this JSON file in data folder

3. command to generate landscape profile
	- run a http server on local host
		for example using python:
		python -m SimpleHTTPServer 8000
		on same directory as code
	- now open browser, enter address:
		localhost:8000

REFERENCE PAPER : Patrick Oesterling, Christian Heine, Gunther H. Weber,
Gerik Scheuermann, “Visualizing nD point clouds as topological landscape profiles
to guide local data analysis”, 2013

About

Visualize and analyse high dimensional scientific data using topological 1D landscape profile.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published