Questions tagged [spatio-temporal]

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

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Why do we need to model max, min, and average temperature for infection disease [closed]

For COVID-19, I read many papers who try to find the relationship between COVID-19 and temperature. In these papers, the authors found the relationship between daily confirmed cases of COVID-19 and ...
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11 views

spatiotemporal/geophysical forecasting

I am wondering what models to use for geophysical forecasting? I am looking at historical sea surface temperatures over the globe with one datapoint per month, so an input of (lat, lon, # of months) ...
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13 views

Converting matrix to spatio-temporal feature vector

Given a matrix representing a video, where the rows represent video frames and the columns represent frame features, are there any techniques I can use to create a single feature vector from this ...
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1answer
77 views

Spatio-temporal autocorrelation

I have a huge data frame (300k + rows) on GPS animal positions. I want to model the probability of the presence of chamois taking into consideration as variables: distance (from a disturbance), ...
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11 views

how to cope with the dataset with temperal and spatial auto-correlation simutaneously

how to cope with the dataset with temperal and spatial auto-correlation simutaneously. As you can see , folkers often meet the problem in dataset. Recently , I met a proble i.e. temporal and spatial ...
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12answers
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Is the COVID-19 pandemic curve a Gaussian curve?

We've all heard a lot about "flattening the curve". I was wondering if these curve – that look like bells – can be qualified as Gaussian despite the fact that there is a temporal dimension.
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55 views

Modelling count differences on irregular lattice

I have the following dataset. I have a time series over an irregular grid where for each position in the grid, there is a variable that for each point in time counts the cumulative difference between ...
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1answer
38 views

What relationships do spatial statistics share with time series analysis?

Spatial statistics is often discussed in tandem with time series. How are the two related? Do they share methodologies? Do overlap in assumptions or conditions of data?
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12 views

spatstat and stpp for one-dimensional spatial data

I have one dimensional spatial data, and the spatio-temporal analysis is two dimensional. 1) Does Ripley's K function change because I no longer have a circular spatial region but a line segment and ...
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31 views

Panel data regression (R)- temperatures at weather stations correlated across time and across stations

I have a balanced panel dataset with a few dozen weather stations' hourly temperature readings across several decades. I have a measure of population density around the weather station over time as ...
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1answer
26 views

Posterior Predictive CARBayesST

I'm trying to use the CARBayesST package and I need to do Spatio-temporal predictions. In the vignette of the package on page 27 says " If there had been saying m missing values, then the Y component ...
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19 views

SpatioTemporal regression

I have a data-set containing rain value for 6 stations and station coordinates (lat,lon). I used lm function taking lat,lon,day, their interaction and rain as below: ...
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22 views

What is the best way to model a spatialtemporal (3d) problem?

A very common problem in machine learning is that we have time variables. For this we use more statistical approaches like ARIMA or more ML approaches like LSTM. A sophistication of a time series is ...
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19 views

How to determine causal relationship between two temporal signals?

I have two noisy temporal 1D signals and knowledge that one drives the other, to some degree. You can see this because there are some temporary spikes in the first signal that (sometimes, if they're ...
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27 views

Is there something wrong with my Bayesian hierarchical spatio-temporal model?

I built a Bayesian spatio-temporal model and one of the parameters to be estimated is the random spatial effects s. The random spatial effect is assigned an intrinsic conditional autoregressive prior (...
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1answer
107 views

multivariate time series analysis with interactions among multiple dependent variables

I have been playing with time series data and using models like facebook prophet which uses time series decomposition and models the signal using trend, seasonalities and holidays. The stuff I found ...
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Can I use a bayesian spatio-temporal model in cluster areas I chose from local Moran's I?

I have crime rates for municipalities in a state with hourly frequency. I want to make predictions about the spatio-temporal behavior of that variable. Is it possible to run a local Moran's I to ...
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29 views

ConvLstm many-to-one model

I am trying to train a model using ConvLstm layers to learn the mapping between a sequence of 20 brain images (showing blood flow) of size 256x256, to a single blood flow parameter image of size ...
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20 views

Dimension reduction for multivariate spatio-temporal data for hurricanes forecast

I have weather data for the 40 previous years and for each year I have information about the hurricane season (intensity, number of active days, casualties,...). My ultimate goal would be to forecast ...
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1answer
276 views

Model for spatiotemporal and discrete variables

I have a situation where I am monitoring events at 50 or so geographical sites in a town and at each of these sites, I am making measurements regarding the count of certain particles (so the ...
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1answer
81 views

Is Hellinger transformation suitable for repeated (in time) site-species abundance data?

I have fish survey data from four different years and several locations, where I would like to study the difference in abundance and biomass between sites and check whether time dependence influences ...
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46 views

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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349 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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1answer
60 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
159 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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59 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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40 views

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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2answers
798 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
258 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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92 views

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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104 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
133 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
1k 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
167 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
30 views

how to find similar (or twin) precipitation stations from the record

I have precipitation data with some missing values from several stations. I tried to implement IDW to fill missing values. I am looking for some index that could use to select the stations having ...
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1answer
51 views

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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43 views

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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88 views

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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1answer
169 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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72 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
152 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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176 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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40 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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99 views

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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35 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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237 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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0answers
442 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
26 views

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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143 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 ...