1
vote
0answers
46 views

Variance Inflation Factor to Address Spatial Grouping with Binary Dependent Variable

I want to obtain reliable standard errors of the estimated coefficients from a regression of y on x. The observation for each individual consisted of a value of the y variable, which is binary, and a ...
5
votes
0answers
54 views

Territories from observations

I have a number of animal observations, and want to deduce the number of territories (i.e. the number of individual animals) from this. More formally, the problem can be stated as follows: Each ...
2
votes
1answer
74 views

Which metric use for problem of clustering spatial data of wind direction and speed?

I have two dimensional spatial (x,y - coordinates of meteo stations) data for small region (so I could neglect the shape of earth globe), for each (x,y) I have one observation of wind direction and ...
0
votes
3answers
439 views

Clustering with 3 attributes

Please bear with me because I am very new to data mining. I have a database of 3 attributes: latitude, longitude and temperature. I want to find clusters for the temperature data and I also want to ...
2
votes
1answer
916 views

What to use, k-means or hierarchical clustering for presence absence data?

I am currently working with a presence-absence database that is mostly zeros (~5% are ones) representing species in space (a species per site matrix). I would like to explore the spatial pattern of ...
5
votes
3answers
373 views

Weighted clustering algorithm

I am looking to divide the 50 US states into n regions. The requirements in dividing are: Each state will be assigned a value The state values in each region ...
1
vote
0answers
114 views

Spatial clustering algorithm with democratic constraints

We ask a set of users to independently detect and annotate all the buildings on a map. We do not have a priori knowledge about the location or event the existence of buildings on this map. I would ...
3
votes
2answers
117 views

How to apply unsupervised classification to spatial data

I am trying to learn how to apply unsupervised classification to spatial data. In near infra red satelite pictures; the ocean is dark and the forest is white. Each pixel in such an image is an ...
1
vote
1answer
138 views

Identifying culs-de-sac (circular housing arrangements) with GIS data

I'm thinking about a new project, so I don't have data yet, but I plan on collecting GIS information for houses within a state. Usually in the U.S., these dead-end streets will have a large circle ...
1
vote
1answer
312 views

Weighted clustering on large spatial dataset

I have a very large (36k items) spatial dataset of locations of commercial landuses with their corresponding square footages. I am hoping to use the pam() command ...
8
votes
2answers
1k views

Density-based spatial clustering of applications with noise (DBSCAN) clustering in R

this question started as "Clustering spatial data in R" and now has moved to DBSCAN question. As the responses to the first question suggested I searched information about DBSCAN and read some docs ...
8
votes
2answers
1k views

Clustering spatial data in R

I have a set of sea surface temperature (SST) monthly data and I want to apply some cluster methodology to detect regions with similar SST patterns. I have a set of monthly data files running from ...
6
votes
2answers
592 views

Choice of weight function in Moran's I

I'm doing an autocorrelation analysis for a spatially distributed collection of observations. To perform my analysis, I am using Moran's I statistic. My questions are: (1) What are the implications ...
7
votes
1answer
200 views

Merging spatial and temporal clusters

I've items that have a geo-spatial position and a temporal origin. For both dimensions, I build clusters so far. I'm now in search of a way to merge this different clusters forming spatio-temporal ...
4
votes
4answers
444 views

Analyze and generate “clumpy” distributions?

Are there standard ways of analyzing and generating "clumpy" distributions? analyze: how clumpy is a given point cloud (in 1d, 2d, nd), what are its clumpy coefficients? generate or synthesize a ...
4
votes
1answer
232 views

Smoothness of a surface

I am currently working on a model which takes two parameters and produces a measurement statistic. Think of it as Z = f(X,Y). Z is a matrix of my statistics and I am creating a surface plot of it in ...