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Questions tagged [spatio-temporal]

Describes data models with a time-series component and a spatial component.

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Determine Power in IDW Extension Approach

I am attempting to find the optimum power for spatiotemporal Inverse Distance Weighting. Background... Because this IDW is spatiotemporal (st) I need to define the st variable c in the Euclidian ...
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+50

How to compute measures of dispersion and statistical significance of the impacts of a panel Spatial Durbin model (SDM)?

I ran a panel Spatial Durbin model (SDM) and computed the summary measures of impacts (direct, indirect and total). Now, I would like to get measures of dispersion for the impacts estimates as well as ...
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Mobile shops temporality adjustment during regression analysis

Suppose I have data set where the residential location of 100 people (longitude, lattitude) and 10 shops (4 mobile shops and 6 fixed shops) are avaliable. Fixed shops are open 30 days a month, but ...
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statistics of (possibly) non-independent interacting systems with fat tails

I apologize if this question has already been asked. I don't know the proper terminology to find my answer - so if it has, please direct me to it! Problem setup: I have many time series of a ...
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Variable selection in Bayesian spatio-temporal count regression

I am estimating a Bayesian spatio-temporal Poisson model. I have a relatively large set of explanatory variables (20ish) and each time I run the model it takes a few hours to complete. I have seen ...
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84 views

Covariance structures in glmmTMB for temporal autocorrelation

I'm running a zero-inflated, mixed-effects negative binomial model with the glmmTMB package in R. My current format: ...
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13 views

Spatio-tempral Bayesian Poisson model convergence investigation

I am fitting a spatio-temporal Bayesian Poisson model with 22 explanatory variables, an offset variable, 2200 observations and non-informative priors. I am using the package ...
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7 views

Spatial Temporal Autoregressive Regression and implication on Fixed effects assumption in Difference in Differences

I am currently planning on testing the effects of marginal price change of properties based on an exogenous event using Spatial DID model. The model has a spatio-temporal lagged variable (y) which ...
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1answer
34 views

Spatio-temporal convolutional networks on irregular grids

I'm contemplating a project where I try to take a time series of maps of polygons (which have values) and predict the next map of polygon values. If it were a regular grid, it'd be a ...
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1answer
56 views

Performing random forest on spatio-temporal rasters

We are trying to train a random forest model on land-use and meteorological variables to predict daily concentrations of air pollution at a 1km resolution. Our input data consists of 1km raster stacks ...
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26 views

Spatial Analysis with Repeated Measures

I am doing an agricultural study in which I analyzed parameters of fruit and treated them with different conditions. The fruits were measured once a week for four weeks. Now, I would like to know if ...
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How do nugget interactions work in Gaussian Processes/Kriging?

How do nuggets and nugget interactions fit into the variogram framework? I am especially interested in the case where there is more than one distance term being used (e.g. space and time): where you ...
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How to calculate temporal change over time when response is 0 or 1 in r

What would be the best approach to calculate the temporal change in response that has values 0 or 1 over time? For example, I have data df with years ...
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Spatio Temporal Interpolation of Vector Fields

I'm looking around for interpolation methods for vector fields, and RBFs seem to be a recommended approach. I've seen ALGLIB specifically mention that it is not suitable for spatio-temporal ...
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2answers
243 views

Trajectory clustering - preprocessing and algorithms

Context Consider the following problem where we have two time dependent (yearly) measures: Fertility rate Life expectancy And a dimension: country. In other words we have over two hundred "...
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1answer
91 views

How does Markov random field (bs=mrf) in mgvc gam handle repeated measures on the spatial units?

I am attempting a spatio-temporal model in mgcv gam. I am using a factor smooth to define each of 27 areal units in a shapefile ("id") as subjects (essentially) which have undergone 23 repeated ...
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Temporal test for treatment when control is zero

I have a 5-year time series of abundance for three replicates in response to treatment, and three control replicates. ...
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14 views

Model relation between coordinates and line of sight distance

The setting: There is a sensor detecting distance from obstacles (ultrasonic / sonar sensor) at a specific position (x, y, theta) in the environment -- ...
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44 views

Is this a legitimate correlation function?

Is the following a legitimate correlation function for a one-dimensional spatial process $S(x):x\in \mathbb{R}$? $$\rho(u)= \begin{cases} 1-u &: 0 \leq u \leq 1\\ 0 &: u>1 \end{cases}$$ ...
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Time series regression

I have a dataset of SO4 concentration (annually) from 1986-2016 across 35 water catchment stations. The dataset looks like this: I first plotted the data and found out that the trend pattern is ...
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138 views

Clustering Multiple Time Series of Different Lengths

I have trajectory data gathered from points on an object as it moves on a video. For each object I have annotated the same points of interest - 22 in total - so for each object I have an X and Y co-...
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Space-Time Principal Component Analysis with Missing Lat/Long Data

Thank you for your help, I am looking to run a space-time Principal Component Analysis on Shotspotter data from Brockton, MA: http://justicetechlab.org/data/. Shotspotter sensors record the timing, ...
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56 views

What method should I use for prediction of NUMBER_OF_ORDERS(TIME, LAT, LNG)?

I'm running a pizza service and would like to predict a number of orders for every hour interval during a day per location (basically where we should deliver the pizza) in future. And I've got a ...
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1answer
42 views

Comparison of groups over time using glm

I have count data on three groups of sites, sampled annually over 6 years. Group1 = target group Group2= control (untreated group) and Group3 = treated group (started the same as Group2). My ...
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1answer
572 views

Interpretation and validation of glmmTMB for ecological count data

I have a couple of questions regarding the analysis of count data using glmms, specifically glmmTMB. I have a four year data set (starting Mar2013 – Dec2016) of insect count data, collected at weekly ...
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1answer
92 views

spacetime R: How to handle missing data in a space-time-full data structure for spatio-temporal kriging purposes?

I am using R and the spacetime package. I am having problems using STFDF. I want to use the STF data-structure since I have spacetime data with recurrent observations for fixed spatial coordinates. ...
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1answer
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How can I cluster the following data set to find out the time when ozone and pm level are high in different stations using R?

My data set contains around 630,000 rows and the data set looks like this: date site code latitude longitude rollingo3 rollingpm2.5 1 ...
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ETAS model initial parameter determining

I am trying to fit a spatio-temporal epidemic type after schock model to an Earthquake catologue using ETAS package R. However, I do not know about it too much. Without good initial parameter set the ...
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Advice on time series data analysis

I would like some advice on how I should analyze my time series data. I have hourly measurements of water temperature data for 12 months across 5 sites. I have summarized my data in following way: ...
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70 views

How to predict using Spatial temporal hierarchical bayesian models

I am using the R package CARBayesST to fit a Spatial-temporal Bayesian models. I want to use piece-wise ST model proposed by Lee and Lawson, 2017. The package does not have a built-in predict ...
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67 views

Machine Learning Classification: 8-Dimensional Time Series

I have a dataset with EMG activations for 8 muscles for several different kinds of movements (squat, deadlift, ...
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1answer
113 views

Metric for spatial auto cross correlation?

I am trying to find anomalies in time series data with geolocations. For different time intervals, e.g. for some week or for some day or for 6 consecutive months, I want to learn whether there is ...
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142 views

Does random forest account for temporal auto-correlation?

I have a dataset including several yearly time series of different sites. I have built multivariate random forest model in a leave-one-site out cross validation model using the ...
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32 views

Review article for spatio-temporal modelling

I'm currently reading Cressie and Wilke's book on spatio-temporal modelling and I'm curious to know if there are review articles that summarize important tools in spatio-temporal analysis. Can anyone ...
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Modelling time-varying spatial correlation

In spatial statistics and spatial econometrics, very commonly models like the following are employed. Let $Y$ represent the response, $X$ some predictors, $\beta$ the vector of coefficients, $\rho$ ...
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Can vehicle trajectory data be considered spatio-temporal data?

My Background I am a graduate student in Transportation Engineering. I know basic Statistics but have never done any time-series/ spatio-temporal data analysis. Data Format I conducted an ...
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33 views

determining the significance of change

I have contaminant data in the same area from two surveys conducted 20 years apart (see attached figure). The first survey contain 32 points and second one 48 points. Most of the sampled locations ...
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163 views

Get different results with different sampling order in Gibbs sampling: what could be wrong?

In sampling a complex spatio-temporal model by Gibbs sampling, I found if I change the order of sampling (for example, to sample $P(\theta_1,\theta_2|D)$, in one try, I sample $\theta_1\sim P(\theta_1|...
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348 views

How to model spatial covariance using Gaussian processes

My data set consists of N noisy time series, each belonging to a point on a surface. The dynamics of each time series are correlated, with correlation decreasing with spatial distance. I hope to ...
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1answer
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Best way to analyze if pairs of relocated endangered animals stick together after release?

I'm working on a conservation project that will soon release ~10 endangered fish that were bred in captivity into a pond. We're hoping this pond serves as a temporal home for a few years, while their ...
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124 views

Evaluation metrics for cluster or cox process

I am working with spatial point processes and on a dataset which seems to be a non-homogeneous poisson point process. I have fitted a cluster/ cox process model and also used this model to predict the ...
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1answer
480 views

Find a polyline best approximating gps points

I don't have much experience in data analysis, so big sorry for anything stupid below. I have thousands of gps points taken from a public transport vehicle, you can see them below. I would like to ...
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202 views

Modeling the residuals of a logistic regression with spatio-temporal observations

I am attempting to generate a probability map based on spatio-temporal observations where the response is 0 or 1. I use R to do the following I first attempted to use the ...
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How do we estimate weights of nodes in temporal networks?

I would like to know some approaches or techniques that are used to tackle this problem. I would like to estimate the weight of every node over time. I have temporal-network with 50 nodes. At every ...
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141 views

Some help to get started with Spatio-temporal data analysis on different engines

I will soon receive experimental data from $n$ engines ($n$ is small, say, 10) for sensor data at the locations in figure: As you can see, each engine is equipped with $5\times8=40$ sensors, ...
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160 views

Test for difference of spatial/temporal distribution

I have the data of the average hourly consumption of electric power in 50 districst of a city, for the days of 2 months: ...
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2answers
131 views

Similarity measure for clusterings in graphs evolving over time (temporal network)

From what I understand about clusters, they can be obtained from an existing graph at 1 instance of time. But consider the situation of a temporal network, such as a social network, where the graph ...
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202 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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1answer
508 views

R - Understanding output of the Knoxtest (Package (surveillance))

The function knox of the "Surveillance" package performs Knox test for space-time interaction. The output is supposed to give the numbers of events that occur in a specific distance in space and time ...
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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 ...