The field of study concerning statistical methods that use space and spatial relationships (such as distance, area, volume, length, height, orientation, centrality and/or other spatial characteristics of data) directly in their mathematical computations.

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Building a prediction raster when the statistical model was built from sampling units of different sizes

I would like to build a predictive map of capture success from a GAM. To build the GAM, I used data of capture success (dependent variable in the model) and proportions of land cover types ...
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19 views

What does it mean that a variogram keeps increasing with distance?

I am modeling my 3D dataset with a Gaussian Process with square-exponential covariance. To test whether this is a good model, I subtract the mean from the observed data and then calculate the ...
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How to define a study area for RIpley's L analysis?

I have a spatial point pattern which spans across multiple districts in the country. Now I want to examine its pattern using Ripley's L function. I know that Ripley's L function is used for ...
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19 views

Spatial analysis of the network data

I'm a bit new in the spatial statistics (althought I'm not new in statistical analysis, particular in Bayesian inference). When we have point measurements in space - geostatistics/spatial statistics ...
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13 views

Incorporating shifting spatial autocorrelation into a GLMM

So I'm examining a series of sites across a landscape for how wildlife use of these sites changes following treatment (reclamation). Treatment of these sites randomly took place over three years, and ...
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23 views

Predictive model with geospatial data

I have datas of random events with gps and time variables. I would like to compute probabilities of an event happening at a given time and location. In the training set, we have about 1500 possibles ...
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85 views

Correlation between spatial distributions

I have three bivariate data sets of different sizes and the same sampling interval. These represent the variation of dry river bed direction with distance at equidistant sample points. When plotted ...
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9 views

When do I add elevation and time dimensions to my point process analysis [duplicate]

I have points I want to analyze their patterns. The points are of a real world data, let's say crime or settlements in the suburban or anything. I can apply elevation to it and I there is a time for ...
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21 views

Difference between 2D and 3D point process

I have points that have elevation attached to them (they were 2D but then someone from the department of geography helped us applying elevation so now they are 3D). I'm about to explore options for ...
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Does anyone have real world example for random point pattern

I have been writing a paper and need to give examples for the different patterns that are result of point process. It has to be real world examples. For clustered I give the example of settlements and ...
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17 views

Can random point process generator generate pattern that is not random?

I am using esri arc to generate random points. I then analyze the pattern from this process using Average Nearest Neighbor which is also in esri gis but lets say it can be in any other software. Is ...
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26 views

One side tests for example monte carlo

I looked at R for Spatial Statistics (spatstat) and I actually found out that it doesn't always have to be that below -1.96 is necessarily clustered and that above 1.96 must be uniformed. There is ...
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Modelling impact of a variable varied across time but constant across space on dependent variables varied across space and time

I'm interested in exploring a simple problem of modelling an impact of variable varying across time on variables varying across space and time. Details Given are two data sets: Classical spatial ...
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Is Sea Level Rise Data from NOAA an Areal Data?

I am working on sea level rise and I collected the data from NOAA. In the meta, they describe the data is obtained by : Hourly : three-point Hanning filter ...
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Lack of independence - how to analyze data from a time-series that are spatially correlated?

I am dealing with a species distribution. From aerial imagery, the species' presence has been assessed at specific locations by identifying the presence/absence of the species of interest under 9500 ...
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Testing for spatial autocorrelation in residuals - time series

I have a ~25 year dataset of annual count of species abundance in several traps. Within a year, the abundance in a trap might be dependent on the abundance in another trap. I want to test the effect ...
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Using Mantel test to check spatial independence in time series?

For my analysis in biology, I want to study the effects of several factors (climate, cultivated area...) on insect dynamics and phenology. For that, I have data of insect captures from several traps ...
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Checking spatial autocorrelation by plotting residuals?

For my analysis in biology, I want to study the effects of several factors (climate, cultivated area...) on insect dynamics and phenology. For that, I have data of insect captures from several traps ...
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46 views

If lat/long are features in a simple regression model, is the model going to account for the distance between data items?

That is closer items (geographically, according to lat/long) have correlated target variables. Example: prices of houses in a neighborhood are correlated. One way to handle this (continuing with ...
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“Goodness for fit Chi” test on point pattern

Apologies, I have a few question today I hope there is no limit to how much I can ask here before you start billing me :) What is the meaning of Goodness for fit Chi-sqaure test? From the wikipedia ...
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8 views

How to know if my data is homogeneous or not

This is for general understanding and I don't have a specific task or data I need to relate it to, but I'm trying to understand how do I know if my point data is homogeneous or inhomogeneous. Is that ...
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What is the difference between IRP and CSR

In this presentation: sorry I couldn't upload the presentation so this is another example: https://www.e-education.psu.edu/geog586/l5_p13.html They are using CSR and IRP interchangeably. I think CSR ...
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46 views

Are Pearson test and Chi-square test the same

I'm a bit confused with Chi-square and Pearson. I know Chi-square is: Chi-square = E (sum of) (Oi - Ei)-square / Ei What would the Pearson formula be if it is different? I don't think it is ...
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Estimated values for Chi-square

To test if my point pattern is random, I am going to conduct a Chi square test. The data has 40 points divided to 3 by 3 tiles. Should I use Binomial or Poisson probability to calculate expected ...
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What is the best test to check if pattern is uniformed?

Out of the following, which tests are best to use on uniformed data to make sure it is indeed dispersed $\chi^2$ Simple NNA High/Low clustering (Getis - ord) KNN (Ripley) Moran Monte Carlo
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Do quadrats have to be equal in size?

I'm doing a quadrat analysis of point pattern. My study area is 2.3m by 2.3m. Can I have quadrats of 1sqm or does it have to be equal area? If quadrats are 1sqm, then four of them would be of full ...
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What is the relationship between Intensity and Quadrats?

In point pattern analysis, what is the relationship between Intensity $\lambda$ and the quadrats analysis? Can $\lambda$ be calculated without or prior to dividing the area to quadrants?
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Types of nearest neighbor analysis

I hear that there are different nearest neighbor analysis methods. Just nearest neighbor: $d = \epsilon (d)i / n$ But also higher order NNA, K and L NNA, refined NNA etc. Apologies as I don't have ...
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Standard deviation in PPA

In Point Pattern Analysis I created a Standard deviation with a single degree (not sure what is the unit but $1\alpha$). Is there any use for counting the points within the area created? what does it ...
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Effectiveness of mean centre and intensity

I am describing the Cells dataset (B.D. Ripley Modelling Spatial Patterns 1977) using numeric values of: intensity mean center Possibly standard deviation I cannot add maps but just present the ...
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25 views

Who came up with the term “complete spatial randomness?”

I've seen the term "complete spatial randomness" widely used in literature but can't figure out who was the first to coin it. Who originated it, and is there a paper it can be cited to?
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PPA- what are Regular, Random, Normal and Clustered?

In Point Pattern Analysis a particular dataset can be one of four, at least according to Wikipedia: Clustered, Normal, Random or Regular. The four: What is the name of those four options? Point ...
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19 views

Is it OK to superimpose two different point patterns?

I am analyzing two datasets form Diggle's paper 1983: Cells Pine (actually Numata 1961) The cells are coordinates between 0 and 1 and the pine are coordinates between 0 and 5.7 (both are square ...
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Area for nearest neighbor analysis

I'm using a software called ArcGIS to calculate the Nearest Neighbor Z value of the Cells dataset (Diggle 1983): The coordinates I have range as a percentage between 0 and 1. ArcGIS has a wizard ...
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28 views

Does Null Hypothesis H0 in point pattern analysis have to be CSR?

I'm taking some tests on the Cells dataset (Diggle 1983). Tests include Chi / quadrant and Nearest Neighbor. By the looks of it, it's very not random. My H0 should therefore be that it is ...
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Orientation of point dataset

Looking at the well-known Pine dataset (Numata, 1961) it appears in different articles in different orientations. 1983 Digggle: Then sometimes appears rotated: Or even flipped: Other than ...
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What is λ in the context of Spatial Point Statistics?

What is a small lambda λ in the context of spatial point statistics and how do I calculate it for a given set of point? Specifically I am trying to calculate it for different sets of observations of ...
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41 views

How to best represent a geographical area as point

I need to check a relationship(?) between land surface temperature (LST) and total population census tract (shapefile) wise where i am trying to relate social factors (e.g. total population, female ...
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Multiple Regression: Spatial Covariate

Im trying to fit a multiple regression model that predicts deaths from earthquakes using magnitude and location of epicenter as predictors. I have no idea how to handle the spatial aspect ie the ...
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33 views

How to interpret plots of point pattern models

I am struggling with the package spatstat and would really appreciate some help. I do not know how to interpret the "Fitted trend" and "Estimated SE" plots that one can get with the following code: ...
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How can I run stats on 2D data?

For example, I have a collection of 2D points (x and y) on a 10x10 grid. What can I use to test if the points are from a uniform distribution (randomly distributed)? What can I use to see if they are ...
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Which approach to use for Spatial Autocorrelation, Moran's I?

I am working out with some spatial data from Yelp dataset. I'd like to take a single city, plot all the restaurants and then check wheter there's some clustering that affects the grade that people ...
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How to make educated guess about movement of people through graph?

I have data about weekly counts of people on entry points (orange circles on the picture below) and need to make educated guess about their counts at destination points (marked by green stars). I know ...
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Logistic regression on clustered presence observations

Edit 4/5/16: added example As a simplified example, in social science surveys a single household may provide 1 to $n$ responses to a questionnaire (assume a single question); say $n = 5$. I have read ...
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26 views

Clustering Spatial Data while Maximizing a Constraint

I'm trying to perform a spatial clustering assignment by minimizing spatial distance while maximizing total weight within each cluster. My Data My data contains 3 columns and approximately 170 rows ...
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116 views

To use a two-sample t-test or to use a Mann-Whitney U-test on spatial data?

I have obtained some mean summer temperature records (June 1st- September 30th) for all years within the 1930s (1930-1939) and I have obtained summer temperature records for all years within the ...
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24 views

Likelihood function for spatial Poisson

The dependent variable in our data is the integer number of trips made in a time period. We can regress on socioeconomic attributes of the individual $X$. The most logical model for this is a Poisson ...
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39 views

What is the mathematics underpinning geo-spatial analysis?

I've spend some time in this filed and yet on thing still plagues me. My understanding is that a random field is represented by some n multi-dimensional joint probability density function that is ...
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72 views

Clustering crime data which has {latitute, longitude, crime-type} tuples

I have a data set which has thousands of rows of {latitute, longitude, crime-type} tuples. Sample Data: ...
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Panel Data - Comparing fixed effects estimation with SDM fixed effects estimation

I'm currently analysing the effects of diversity can have on employment growth amongst various Irish regions. One of the key theories of the paper is to argue that considering the spatial units of ...