Areal & Dasymetric Interpolation; Change of Support

Procedural terrain generator using exponentially distributed noise.

Spatial Econometrics web app made with R and Shiny

The "shriveling_world" project aims at producing images of the global geographical time-space, using the third dimension, as in time-space relief maps. The word "shriveling" was introduced by Waldo Tobler in his comments of Mathis-L'Hostis time-space relief image, in order to describe the complex contraction process suggested by the model.

Data mining and knowledge discovery, refers to discover knowledge from huge amounts of data, has a broad application prospect.When faced with geological data, however, even the relatively mature existing models, there are defects performance and effect.Investigate its reason, mainly because of the inherent characteristics of geological data, high dimension, unstructured, more relevance, etc., in the data model, indexing structure knowledge representation, storage, mining, etc., is far more complicated than the traditional data. The geological data of the usual have raster, vector and so on, this paper pays attention to raster data processing.Tobler theorem tells us: geography everything associated with other things, but closer than far stronger correlation.Spatial correlation characteristics of geological data, the author of this paper, by establishing a spatial index R tree with spatial pattern mining algorithms as the guiding ideology, through the raster scanning method materialized space object space between adjacent relationship, transaction concept, thus the space with a pattern mining into the traditional association rules mining, and then take advantage of commonly used association rules to deal with some kind of geological data, to find association rules of interest. Using the simulation program to generate the geological data of the experiment, in the process of experiment, found a way to use R tree indexing can significantly speed up the generating spatial transaction set, at the same time, choose the more classic Apriori algorithm and FP - growth algorithm contrast performance, results show that the FP - growth algorithm is much faster than the Apriori algorithm, analyses the main reasons why the Apriori algorithm to generate a large number of candidate itemsets.In this paper, the main work is as follows: (1) In order to speed up the neighborhood search, choose to establish R tree spatial index, on the basis of summarizing the common scenarios to apply spatial indexing technology and the advantages and disadvantages. (2) Based on the analysis of traditional association rule mining algorithm and spatial association rule mining algorithm on the basis of the model based on event center space with pattern mining algorithm was described, and puts forward with a rule mining algorithm based on raster scanning, the algorithm by scanning for the center with a grid of R - neighborhood affairs set grid, will study data mining into the traditional data mining algorithm. (3) In the process of spatial index R tree insert, in order to prevent insertion to split after the leaf node, leading to a recursive has been split up destroy the one-way traverse, is put forward in the process of looking for insert position that records if full node number is M (M number) for each node up to insert nodes, first to divide to avoid after layers of recursive splitting up, speed up the R tree insertion efficiency. (4) On the basis of spatial transaction set preprocessing, realize the Apriori algorithm and FP-growth algorithm two kinds of classic association rule mining algorithm, performance contrast analysis.

Pure-Python preprocessor, originally by Robert F. Tobler

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Translation into French of a selection of published and unpublished texts by Waldo R. Tobler. // Traduction en français d'une sélection de textes publiés et non publiés de Waldo R. Tobler

A conda-smithy repository for tobler.

joss paper

A video processing tool

a wallpaper management tool for X11-powered systems

My personal portfolio page in 2020.

Performing and assessing areal interpolation methods using Tobler

A tool used to deauth networks and capture handshakes with a GUI and python3

This project aims at analysing Tobler's scientific networks using bibliometrics

Python library and QGis plugin to create isochrones from a raster map, in particular from elevation data with Tobler's hiking function

Just a personal toolbox with things that can make Unity development easier

Products tracking system

MyBlog

areal interpolation and change of support

Windows version for Tobleron

Supplementary material for paper submitted to Findings

Blog

Implementations of Naismith's rule, Tobler's rule, etc. for trekking and hiking times

Supplementary data files from Culumber & Tobler (2017): Sex-specific evolution during the diversification of livebearing fishes. Nature Ecology & Evolution

A method of fitting trail speed observations from the Pacific Crest Trail (PCT) to a modified version of Tobler's hiking function.

areal interpolation and change of support