Questions tagged [spatio-temporal]
Describes data models with a time-series component and a spatial component.
120 questions
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Temporal autocorrelation when my observations are pairwise comparisons between timesteps?
I have a timeseries of species abundances (continuous variable). I calculated the dissimilarity (Bray Curtis coefficient) between all time steps, and now I want to model this dissimilarities against ...
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How to address offset for pseudoabsences in a logistical gam
I am trying to run a logistical GAM of probability of occurrence for several fish species from recreational fishing data using the mgcv package in R. The model uses different oceanographic variables ...
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Why does my GNN-LSTM model fail to generalize with full training data for a spatiotemporal prediction task? [duplicate]
I'm working on a spatiotemporal prediction problem where I want to forecast a scalar value per spatial node over time. My data spans multiple spatial grid locations with daily observations.
Data Setup
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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