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Questions tagged [spatio-temporal]

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

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how to deal with seasonality in spatio-temporal kriging?

I'm currently working with a spatio temporal dataset of PM10 in North Italy, I have 4 years of weekly data and 160 stations on the region. I seasonally adjusted the time series of each station one by ...
Giovanni's user avatar
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15 views

How to use Conv2D for make predictions on spatio-temporal data (non-image)?

I have multivariate time series data consists of 4 independent variables, 1 dependent variable (target variable), and spatial data (latitude and longitude). The data is taken from 5 different cities, ...
Riri Ana's user avatar
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46 views

How to create a GAM with interation term for a soap film smoother

I am interested in creating a GAM that contains a soap film smoother that can also vary in time. Below is an example using synthetic data. I start by creating data with two spatial signals, which are ...
Marc in the box's user avatar
1 vote
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Predicting current area-level counts from repeated cross sectional presence/absence surveys

Problem statement I’m trying to predict the “current” distribution of wood-burning fireplaces at ZIP code level across 9 California counties based on 15 years of surveys with presence/absence data on ...
dholstius's user avatar
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4 votes
2 answers
54 views

Forecasting a series that comes with uncertainty

I have a time series resulting from a spatiotemporal aggregation on the spatial domain. As a result, I have a central measurement (let's say mean average) and a dispersion (let's say standard ...
Ricardo Barros Lourenço's user avatar
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Calculate the correlation between two Space-Time Series

What method would be employed to calculate the correlation between two space-time series? For example, dataset 1 = a set of space-time points relating to cases of disease 1 and dataset 2 = a set of ...
Daniel J's user avatar
1 vote
0 answers
39 views

How to get plot of Ripley's K function (Kest) for temporal data in R? [closed]

I have the temporal data of Landslide events in CSV format. My data consists of Year, Month, and Day of events. I want to see if there is temporal clustering for events or not by using Ripley's K ...
Khushboo Kumari's user avatar
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75 views

Rolling window validation for time series classification: good idea?

I have a time series dataset (interval = 10 minutes) that contains a user's visited locations. I derive several features from the timestamps to capture the user's trend: hour of the day, day of the ...
sander's user avatar
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1 vote
0 answers
202 views

Spatio-temporal predictions with GAMs

I am using R package mgcv to model spatio-temporal variation in an ecological variable (y). I have data for "y" from across 8 years, and from >2000 locations across the United Kingdom. I ...
Mansi's user avatar
  • 41
0 votes
1 answer
58 views

Causal inference for spatio-temporal panel data with an continuous independent variable varying over time and cross-sections

For a research project, I have spatio-temporal panel data with an continuous independent variable varying over time and cross-sections, i.e. countries. I have recently read this paper by Papadogeorgou ...
flxflks's user avatar
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1 vote
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Can Shannon-Wiener index be used for measuring temporal differences? [closed]

I understand the Shannon diversity index being used in spatial analysis when comparing multiple sites of measurement, but can it be used to measure abundances, richness, diversity, etc. on a temporal ...
user390865's user avatar
1 vote
1 answer
467 views

Moran's I test and LM tests for panel data in R

I am trying to perform spatial panel data analysis using the splm package in R. However, I encountered an error when applying the Moran test and LM tests to the ...
Martin Vondrášek's user avatar
2 votes
1 answer
45 views

What are suitable statistical approaches to examine temporal variation of species abundance/ community composition across multiple sites?

I'm looking for appropriate types of analysis for a data set that contains counts of different crab species across 4 sites with 3 replicates per site (12 in total) over a time period of 1.5 years - 5 ...
Susanne Bähr's user avatar
1 vote
0 answers
147 views

Kernel Filter size and sampling frequency

I was wondering if I could understand the relationship between kernel size and sampling frequency. I was reading this paper and on Pg 6-7 ("In block-1" section), I read that kernel size of ...
Sarvagya Gupta's user avatar
1 vote
1 answer
41 views

How to compare the sensitivity of many countries?

My thesis question is asking whether biodiversity sensitivity differs geographically. I will assess all 5 pressures individually, but take 1 (pollution) as an example. My data contains time series for ...
Kayleigh's user avatar
1 vote
0 answers
69 views

Latent variables for spatio-temporal Extreme Value in R [closed]

Latent variables models are often used for spatial extremes modeling see e.g., Davison, Padoan and Ribatet. A typical application use block maxima such as annual maxima of temperature, assumed to ...
Yves's user avatar
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2 votes
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127 views

How to quantify temporal overlap of species abundance?

I want to compare the extent of overlap of species abundances in the following two secanrios. In the first scenario, species barely overlap so the index or overlap value should be zero. in the second ...
slicer's user avatar
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How to deal with spatial autocorrelation AND temporal autocorrelation in a mixed model?

When creating a mixed model (or GLS) with spatiotemporal data, you can include correlation structure into your model to address autocorrelation. Spatial autocorrelation can be modelled for with ...
willbutdontwanna's user avatar
0 votes
1 answer
18 views

ML Method for temporal object mapping

The scenario is like this: I have 2 point clouds, representing the radar readings of a car at the moment t and t + 0.1 seconds. ...
Rares Dima's user avatar
1 vote
1 answer
32 views

What is the best correlation test to use when you want to compare two variables in a spatiotemporal context?

I have 9 sampling sites. I did the sampling in May, July, and September in the sediments and the water. So, I have 27 samples. I want to know if there is a linear correlation between total nitrogen ...
Simon Leclair's user avatar
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0 answers
22 views

Spatial and time lag autocorrelation

I am designing an experiment to examine spatial autocorrelation within 50km of a point. The setting is the open ocean with sensors that take depth profiles of environmental data (Temperature, Salinity,...
CathyG's user avatar
  • 1
2 votes
2 answers
312 views

Modelling spatio-temporal data with repeated measurements

I would like to perform regression on an environmental dataset. The covariates are in the following form I realize that the 4 repeated measures for each region are dependent because they come from ...
PiccolMan's user avatar
  • 111
1 vote
0 answers
115 views

How to perform PCA analysis on space-time data for few species in R? [closed]

The data-set I'm looking to analyze has 6 sites. Each site was sampled at five unique locations each month for a year. We could identify abundance of 4 species across the data set. Together, I have ...
slicer's user avatar
  • 613
2 votes
0 answers
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Clustering data with temporal effect

As an example of a dataframe, we could think a problem such as: (my real table is much bigger and with a lot of ID_PRODUCTs and a lot of ID_CLASS_PRODUCTs) ID_CLIENT DATE ID_PRODUCT ID_CLASS_PRODUCT ...
Gustavomoty's user avatar
2 votes
1 answer
646 views

How to best impute missing values of county-level time series data using R?

I have a dataset consisting of mobility data at the county-level for the US for about one year. So the number of observations is >1m. Apart from the county code, the date, and the mobility index, ...
Tea Tree's user avatar
  • 280
1 vote
0 answers
33 views

Classification Accuracy with Temporal Component

Problem I have a 3D matrix of time-series, it's a spatial dataset with the 1st and 2nd dimension being x and y and the 3rd dimension being time. Some of the time-series have a structual break in them ...
JonasV's user avatar
  • 61
3 votes
2 answers
437 views

Comparison between two times series

I am looking at time series data, comparing the velocity with which different groups of animals move in a new environment. In its raw form, the data consists of trajectories from individual fish that ...
LukAn's user avatar
  • 31
1 vote
0 answers
257 views

Interpreting a Distance & Time 3D Variogram for Variogram modeling

I am trying to understand some concepts of variograms. I have made several variogram models in R and am trying to understand exactly what they mean. My data is ...
Coldchain9's user avatar
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0 answers
15 views

What is the best technique to determine Spatio temporal correlations?

I have Carbon emissions data for 20 years for different regions in a country. I want to test the hypothesis that the emissions are statistically different for the regions over the 20 year period. What ...
Mustafa Ali's user avatar
2 votes
0 answers
35 views

Best Statistical Techniques for Order Sensitive Data

Problem I am writing a Genetic Algorithm (GA) that aims to find the best order of performing a given set of tasks to fulfill an objective. Imagine there are a set of tasks ...
martinomburajr's user avatar
1 vote
0 answers
18 views

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 ...
Maryam's user avatar
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2 votes
1 answer
210 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), ...
Baffo's user avatar
  • 43
58 votes
12 answers
26k views

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.
Samos's user avatar
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0 answers
64 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 ...
Easymode44's user avatar
3 votes
1 answer
71 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?
fool's user avatar
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1 vote
0 answers
112 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 ...
Alex's user avatar
  • 11
0 votes
1 answer
191 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 ...
Ariel's user avatar
  • 1
0 votes
0 answers
32 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: ...
Saraz's user avatar
  • 87
0 votes
0 answers
29 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 ...
sn3fru's user avatar
  • 195
4 votes
0 answers
136 views

Inference from small sample size with aggregated country data

I have a data set with country aggregate patient data for yearly total number of diseases, treatments provided by health services, and some other covariates for two countries over 10 years. The ...
Wissenschaft's user avatar
2 votes
0 answers
53 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 (...
Outlier's user avatar
  • 123
1 vote
1 answer
1k 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 ...
Luca's user avatar
  • 4,700
1 vote
0 answers
28 views

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 ...
Lucas Santos's user avatar
1 vote
0 answers
35 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 ...
jamesCA's user avatar
  • 11
7 votes
1 answer
314 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 ...
Luca's user avatar
  • 4,700
2 votes
1 answer
288 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 ...
T.Becker's user avatar
1 vote
0 answers
165 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 ...
nghauran's user avatar
  • 452
6 votes
1 answer
4k 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: ...
Andrew's user avatar
  • 61
2 votes
1 answer
207 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 ...
generic_user's user avatar
  • 13.5k
2 votes
1 answer
505 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 ...
philiporlando's user avatar