Sent: Monday, December 9, 2019 12:14
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Sun, 8 Dec 2019, Robert R wrote:
> Dear Roger,
>
> Thank you for your answer. Regarding the sparse matrix, you're right - I
> tested cr
___
From: Roger Bivand
Sent: Wednesday, December 4, 2019 09:07
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Wed, 4 Dec 2019, Robert R wrote:
Dear Roger,
Again, thank you for your answer. What do you mean by "zip code random
a zip code random effect. I would certainly drop all
> attempts to examine spatial dependency until you get an aspatial multilevel
> hedonic model working.
>
> Roger
>
> --
> Roger Bivand
> Norwegian School of Economics
> Helleveien 30, 5045 Bergen, Norway
> roger.biv
nd to
improving the signal-noise ratio before trying to scale up.
Roger
Thank you and best regards,
Robert
From: Roger Bivand
Sent: Wednesday, November 27, 2019 13:53
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: SV: [R-sig-Geo] Spatial Autocorrel
ed"))
And any other methodology in dealing with large weight matrices in
spatialreg::lagsarlm?
Thank you and best regards,
Robert
From: Roger Bivand
Sent: Wednesday, November 27, 2019 13:53
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: SV: [R-si
Fra: Robert R
Sendt: tirsdag 26. november 2019 21.04
Til: Roger Bivand
Kopi: r-sig-geo@r-project.org
Emne: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
Dear Roger,
Thank you for your e-mail. Actually there is less noise that it seems. Rental
prices are
nd
Sent: Monday, November 11, 2019 11:31
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Sun, 10 Nov 2019, Robert R wrote:
Dear Roger,
Again, thank you for your answer. I read the material provided and
decided that Hierarchical Spatial Aut
_
From: Roger Bivand
Sent: Monday, November 11, 2019 11:31
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Sun, 10 Nov 2019, Robert R wrote:
> Dear Roger,
>
> Again, thank you for your answer. I read the material provided a
ed by me?
Or would you recommend me another approach to avoid the above mentioned
error?
Thank you and best regards,
Robert
____________
From: Roger Bivand
Sent: Thursday, November 7, 2019 10:13
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorre
m = 1, thinning = 1, parameters.start = pars)
##
Thank you and best regards
Robert
From: Roger Bivand
Sent: Friday, November 8, 2019 13:29
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Fri, 8
and best regards,
Robert
From: Roger Bivand
Sent: Thursday, November 7, 2019 10:13
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Thu, 7 Nov 2019, Robert R wrote:
Dear Roger,
Many thanks for your help.
I have an additional que
would you recommend me another approach to avoid the above mentioned error?
Thank you and best regards,
Robert
From: Roger Bivand
Sent: Thursday, November 7, 2019 10:13
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation
, collapse =
" + ")), data=listings, model="pooling", index="id")
Some of my id's repeat in multiple time periods.
I use NYC's zip codes to left join my data with the neighborhood zip code
specific characteristics, such as income per capita to that specific zip code,
etc.
Now
ert
From: Roger Bivand
Sent: Wednesday, November 6, 2019 15:07
To: Robert R
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] Spatial Autocorrelation Estimation Method
On Tue, 5 Nov 2019, Robert R wrote:
> Dear Roger,
>
> Thank you for your reply
quot;pooling", index="id")
Some of my id's repeat in multiple time periods.
I use NYC's zip codes to left join my data with the neighborhood zip code
specific characteristics, such as income per capita to that specific zip code,
etc.
Now I want to apply the hedonic model with th
quot;)), data=listings, model="pooling",
index="id")
Some of my id's repeat in multiple time periods.
I use NYC's zip codes to left join my data with the neighborhood zip code
specific characteristics, such as income per capita to that specific zip code,
etc.
On Tue, 5 Nov 2019, Robert R wrote:
I have a large pooled cross-section data set. I would like to
estimate/regress using spatial autocorrelation methods. I am assuming
for now that spatial dependence is present in both the dependent
variable and the error term. My data set is over a period
I have a large pooled cross-section data set.
I would like to estimate/regress using spatial autocorrelation methods. I am
assuming for now that spatial dependence is present in both the dependent
variable and the error term.
My data set is over a period of 4 years, monthly data (54 periods)
M
To: Elizabeth Webb
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] spatial autocorrelation in GAM residuals for large
data set
On Tue, 20 Aug 2019, Elizabeth Webb wrote:
Hello,
I have a large data set (~100k rows) containing observations at points
(MODIS pixels) across the northern hemis
ds, what
is an appropriate variant in this context?
Elizabeth
___From: Roger Bivand
Sent: Tuesday, August 20, 2019 4:43 PM
To: Elizabeth Webb
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] spatial autocorrelation in GAM residuals for large
data set
On T
On Tue, 20 Aug 2019, Elizabeth Webb wrote:
Hello,
I have a large data set (~100k rows) containing observations at points
(MODIS pixels) across the northern hemisphere. I have created a GAM
using the bam command in mgcv and I would like to check the model
residuals for spatial autocorrelatio
Hello,
I have a large data set (~100k rows) containing observations at points (MODIS
pixels) across the northern hemisphere. I have created a GAM using the bam
command in mgcv and I would like to check the model residuals for spatial
autocorrelation.
One idea is to use the DHARMa package
(
Hi Orcun
I am not quite sure if im doing this correctly but I do understand that i first
need to check spatial autocorrelation occurs in my data. so i did this below
steps and after that checked it again in best model residuals
# Another approach to find SAC by creating neighbors first, then ge
Hi Dechen,
As for measuring spatial autocorrelation, one thing I noticed about your
output is that you are using the randomization assumption in
spdep::moran.test. Randomization assumption is not appropriate for
Moran's I of regression residuals and spdep::lm.morantest is the
function to corr
Hi Patrick
Thank you for your quick response and i went through your thesis and its very
useful information. One thing that i was wondering was, you could potentially
also use quadratic terms of the predictors which may have non-linear relation
with the response variable right? rather than to u
Hi Dechen,
it is very important to account for SAC in any model. This can be done in
various ways. In log.reg it is common to include spatial autocorrelation
structures that describe the underlying SAC. To do so, you can use mixed
models, e.g. MASS::glmmPQL().
Also have a look at Wood (2017) Ge
Hello all,
I would like some help in my problem below:
I am running a logistic regression and my best model residuals has spatial
autocorrelation (SAC) when checked as below and also on the raw data of the
response type. My response is binary 0 and 1 (type of prey and to be predicted
by sever
On Wed, 13 Mar 2013, Lilis Husna wrote:
Is there any spatial autocorrelation chek (like Moran's I) for
categorical data?
See joincount.test() joincount.multi() in spdep, and do read the help
pages and the references named on the help pages, especially Cliff & Ord
(1981) for the background. G
Is there any spatial autocorrelation chek (like Moran's I) for categorical data?
Best Regards,
Lilis Nurul Husna
Institute of Statistics
Jakarta
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Dear all,
I have very recently started using R for analysing my spatial data. Is
there any way to split the main transect in to smaller ones to check for
autocorrelation at various lags or intervals. For example, I am trying
to split the main transect (approximately of 20Km in length) consi
Dear all,
I have very recently started using R for analysing my spatial data. Is
there any way to split the main transect in to smaller ones to check for
autocorrelation at various lags or intervals. For example, I am trying
to split the main transect (approximately of 20Km in length) consistin
Edzer Pebesma-2 wrote
>
> Assuming this is currently not possible, I would try modify nlme::dist
> to accept a spherical distance measure option, and have it call
> sp::spDists; corSpher has a metric parameter.
>
I don't know how to access nlme::dist
I tried typing nlme::dist into the console b
Assuming this is currently not possible, I would try modify nlme::dist
to accept a spherical distance measure option, and have it call
sp::spDists; corSpher has a metric parameter.
On 05/15/2012 09:55 PM, Dan Bebber wrote:
> In the case where data are sampled on a sphere (e.g. the Earth) and the
In the case where data are sampled on a sphere (e.g. the Earth) and the spatial
locations are denoted by latitude and longitude, is there a way of generating a
spatial autocorrelation structure that can derive Euclidean distances from
these coordinates?
I imagine that corSpher(form = ~ latitude
Hi group, I am looking for a function and exampling code to run spatial
autocorrelation tests but adapted to lineal habitats. My study area is a
river where I set camera traps at random locations all in the riverbank. I
am using occupancy models for prsence of some mammal species but I need a
way t
:
Subject: [R-sig-Geo] Spatial autocorrelation in GLM/GAM/CART binomial
family
Message-ID:
Content-Type: text/plain
Hi List,
I have 1227 data plots regularly sampled in a grid
of 1 x 1 Km in which species richness and abundance of 682 vascular plant
species have been recorded.
I
Hi List,
I have 1227 data plots regularly sampled in a grid
of 1 x 1 Km in which species richness and abundance of 682 vascular plant
species have been recorded.
I constructed also a database of environmental
variables with GIS. My first goal was to compute a GLS model to explain species
richn
Dear Geo-UseRs,
I am trying to fit a linear model in lme considering the spatial
autocorrelation structure of my data.
I know that the correlation has a half-normal shape, so I use the function
corGaus.
Observations are coming from several surveys, done at various dates
(sometimes several surveys
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