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Questions tagged [spatial]

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.

1 vote
1 answer
35 views

My data is clustered in space, how can I account for that in a GAMM?

I am modelling whether a bird nest is build or not based on the date it was built, the geographical coordinates where the nest was built, and using the year when the nest was built as random effect - ...
Teresa's user avatar
  • 21
0 votes
0 answers
36 views

Environmental filtering versus spatial resampling in species distribution modeling

I am building species distribution models using machine learning models based on GBIF data (presence-only data) and working on a very large spatial scale, encompassing all of North America. Before ...
Marine Régis's user avatar
0 votes
1 answer
33 views

EM-algorithm for spatial data

I am very new to Geostatistics (Modeling spatial data) and have some questions: 1- I found that in many literature, the spatial random field is divided into spatial bins. That is, suppose I am ...
Dr. Statistics's user avatar
0 votes
0 answers
28 views

State space models and Kalman Filter

I have the following model specification: $y_t = \mu_t + v_t,$ $\mu_{t+1|t} = \phi \, \mu_{t|t-1} + k\, v_t $ where v_t= y_t - mu_{t|t-1}, v_t|F_{t-1} ~ tv(0, sigma^2). I was asked to provide the ...
user414120's user avatar
0 votes
0 answers
41 views

Unbiased Estimator of Nugget Effect

Question: I am trying the measure the nugget effect, which is parameterized by $(1-\lambda)$ in the following variance-covariance used to describe the multivariate normal distribution of my n-...
A Friendly Fish's user avatar
2 votes
0 answers
103 views

dubious diagnostics in species distribution modeling with mgcv gam

I am doing some marine species distribution modeling with gams and mgcv in R. The diagnostics from gam.check(), and concurvity() seem dubious. Are there issues with the specification of the model, or ...
Thanasis's user avatar
0 votes
0 answers
17 views

How to compare multiple point patterns of the same realm resulting from different clustering methods?

I have a dataset of 500 sampling points to which I apply multiple different clustering methods for categorization. How can I compare the resulting spatial point patterns of cluster group labels? I ...
jlklein's user avatar
1 vote
1 answer
17 views

Quantifying (observed) spatial clustering?

I am looking for some advice regarding spatial statistics. I have a large dataset with multiple samples across 5 different conditions. Each sample is composed of different point types in 2D space. For ...
stellaria's user avatar
1 vote
1 answer
47 views

Derivative of Linear Model with respect to Residual

I am looking at two sections on the wikipedia page for total least squares, specifically: #Allowing_observation_errors_in_all_variables and #Example I have two questions, the first is how does one ...
A Friendly Fish's user avatar
1 vote
0 answers
18 views

How to estimate a feasible Generalized Error-in-Variable Model (combine deming regression/TLS and f-generalized least squares)

I have observational data with spatial structure. A hypothetical dataset could be brain mass for 100 species of birds and body mass for those same species. The data has spatial structure because ...
A Friendly Fish's user avatar
0 votes
0 answers
6 views

GWR on spatially joined attributes

I am new here and am trying to build and compare a couple models using spatial data for estimation (GLM and GWR). I am trying to estimate counts using a training dataset that contains observations on ...
Juan P FZ's user avatar
  • 101
2 votes
2 answers
46 views

Data modelling as a surface

I want to model waste generation in a city using data from the containers. I have the location and fill levels of each container over time. My idea is to use the average amount of waste in each ...
pato's user avatar
  • 21
0 votes
0 answers
29 views

How to know whether I should use DiD or Spatial RDD?

I'm quite new in econometrics. I want to study a nationwide policy change at the city-level. In year T-1, cities are divided in three zones (green, orange, red) depending on their tension on the ...
Yan's user avatar
  • 1
5 votes
1 answer
122 views

Using GAM for hotspot mapping

I’m going to preface this with, I’m no Generalized Additive Model or spatial statistics expert … I know enough to be “dangerous” … maybe that’s a bad thing 😉 Today I had a little bit of a thought ...
Paul Julian's user avatar
2 votes
0 answers
21 views

Smoothing spatial data for privacy issues

I have a dataset with about 6000 observations related to municipalities. The structure of the dataset includes four columns: the municipality code, the number of businesses in the municipality, the ...
Luigi's user avatar
  • 327

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