[R-sig-Geo] spplot contour font size and color adjustment

every hint! Best regards Marco -- Marco Helbich Chair of GIScience Department of Geography, University of Heidelberg marco.helb...@geog.uni-heidelberg.de Berliner Straße 48, D-69120 Heidelberg, Germany ___ R-sig-Geo mailing list R-sig-Geo@stat.

Re: [R-sig-Geo] mixed geographically weighted regression

Great, thank you for giving me a hand! Best regards Marco Original-Nachricht > Datum: Tue, 5 Jan 2010 18:54:08 +0100 (CET) > Von: Roger Bivand > An: Marco Helbich > CC: r-sig-geo@stat.math.ethz.ch > Betreff: Re: [R-sig-Geo] mixed geographically weighted regre

Re: [R-sig-Geo] mixed geographically weighted regression

purpose I would need to calculate S_v by hand. Therefore, I would need the weight matrices for every observation. Or is there an easier way? Kind regards, Marco Original-Nachricht > Datum: Tue, 5 Jan 2010 18:00:50 +0100 (CET) > Von: Roger Bivand > An: Marco Helbich &g

[R-sig-Geo] mixed geographically weighted regression

Dear list, I am trying to fit a mixed geographically weighted regression model (with adaptive kernel) using the spgwr package, i.e. I want to hold some of the coefficients fixed at the global level. Thus, I have the following questions: 1. Which is the most efficient way to estimate such a mode

Re: [R-sig-Geo] Getting started with Open Source GIS

! marco helbich -- GRATIS für alle GMX-Mitglieder: Die maxdome Movie-FLAT! ___ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo

Re: [R-sig-Geo] Spatial correlation for nominal variable

Dear Monir, perhaps the join count statistic for k coloured factors in the spdep package is a possibility. best regards marco > Message: 2 > Date: Mon, 31 Aug 2009 08:26:43 -0500 > From: "Hossain, Md Monir" > Subject: [R-sig-Geo] Spatial correlation for nominal variable > To: "r-sig-geo@stat.

Re: [R-sig-Geo] Reference for join-count model

Dear Michael, this one comes to my mind: @BOOK{Goodchild1986, title = {Spatial Autocorrelation}, publisher = {Geo Books, Norwich}, year = {1986}, author = {Goodchild, M}, timestamp = {2007.05.14} } hope it helps marco > -- > > Message: 10 > Date: Tue, 25

[R-sig-Geo] kernel density mean value for superimposed polygon

Hello, I am sorry to post this question a second time, but I still got no solution. My starting point are the local densities from a kernel density estimation (my object called k1) using the splancs package, now I want to calculate the mean value for every superimposed polygon (called tsids). T

[R-sig-Geo] aggregate outcome kernel density estimation using saga gis and overlay

) example-code helps to reproduce my problem. Thank you very much for your help! Regards Marco Marco Helbich Institute for Urban and Regional Research Austrian Academy of Sciences Postgasse 7/4/2, A-1010 Vienna, Austria e-mail: marco.helbich(at)oeaw.ac.at e-mail priv.: marco.helbich(at)gmx.at

Re: [R-sig-Geo] stepwise algorithm for GWR

Original-Nachricht > Datum: Wed, 13 May 2009 14:32:35 -0400 > Von: "Myers, Joshua" > An: "Danlin Yu" , "Marco Helbich" > > CC: r-sig-geo@stat.math.ethz.ch > Betreff: RE: [R-sig-Geo] stepwise algorithm for GWR > Marco, >I ag

Re: [R-sig-Geo] stepwise algorithm for GWR

tested this model for non-stationarity... and voilà there is one. Now I want to compare this one with the one offering the lowest aic. All the best Marco Original-Nachricht > Datum: Wed, 13 May 2009 10:04:22 -0400 > Von: Danlin Yu > An: Marco Helbich > C

[R-sig-Geo] stepwise algorithm for GWR

Dear list! I am doing some geographically weighted regression and I am intersted in the most suitable model (the one with the lowest AIC). Because there is no stepwise algorithm, I am trying to write a "brute force" function, which uses all possible variable combination, applies the gwr and ret

[R-sig-Geo] convert spatstat owin-object to splancs

Dear list, I have the following problem: my dataset contains some events (points) and a studyarea, I used some spatstat functions and now I want to use the bandwidth estimation mse2d() in the splancs package. My problem is to convert the spatstat owin-object (studyarea) to use it in the splanc

[R-sig-Geo] package for bidimemsional regression

ilarity of cognitive maps and other two-dimensional data. Psychological Methods, B, 468-491 I appreciate every hint! Best regards Marco Helbich ___ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo

[R-sig-Geo] kernel density estimation to google earth

uot;) plot(x, xlim=SGxx$xlim, ylim=SGxx$ylim, setParUsrBB=TRUE) dev.off() kmlOverlay(SGxx, paste(tf, ".kml", sep=""), paste(tf, ".png", sep="")) ### I appreciate every hint! Thanks. Marco -- Marco Helbich Institute for Urban and Regional Research

Re: [R-sig-Geo] R-sig-Geo Digest, Vol 53, Issue 23

Dear Jose, a few weeks ago, I read something about it... perhaps you will be able to find your answers here: http://bookshop.europa.eu/uri?target=EUB:NOTICE:LBNA22904:EN:HTML the pdf explains regression kriging by means of an example. I hope it helps Best regards Marco -- Marco Helbich

[R-sig-Geo] read gpx file

Dear List, the readGPS function from the maptools package is able to read waypoints from an 'attached GPS'. But what about reading gpx-fils, is there a function available to import such data? the OGR vector formats are not supporting it... best regards, Marco -- Marco Helbich Ins

Re: [R-sig-Geo] R-sig-Geo Digest, Vol 50, Issue 4

Dear Kam Tin Seong, try something like this: w <- readShapePoly(".shp") W <-as(as(w, "SpatialPolygons"), "owin") # polygon window plot(W) pts.ppp <- as.ppp(xykoord, W) # xykoord=point pattern summary(pts.ppp) plot(pts.ppp) Best regards Marco __

[R-sig-Geo] allocate error Kenv.csr()

used (Mb) Ncells 433048 11.6 741108 19.8 661425 17.7 Vcells 219455 1.7 52498390 400.6 62525504 477.1 > Best regards Marco __ Marco Helbich ISR Postgasse 7/4/2 A-1010, Vienna Tel.: +43 (0) 699 11 71 44 02 mail (a): marco.helbich at univie.ac.at mail (b): marco.

Re: [R-sig-Geo] R-sig-Geo Digest, Vol 48, Issue 3

Dear Hisaji, I know the following possibilities: GGOBI: http://www.ggobi.org/publications/2001-dsc.pdf http://www.ggobi.org/publications/2003-dsc.pdf GEOXP: http://w3.univ-tlse1.fr/GREMAQ/Statistique/geoxppageR.htm Best regards, Marco Helbich - Original Message - From: <[EM

[R-sig-Geo] Cliff and Ord modified t-test for autocorrelated datasets

considers autocorrelation. Is such a test implemented in R or somewhere else? Can anybody give me a helping hand? I appreciate every hint! Thanks. Marco ______ Marco Helbich ISR Postgasse 7/4/2 A-1010, Vienna ___ R-sig-Geo mailing list

[R-sig-Geo] round class intervals in legend

"quantile") colcode <- findColours(class, plotclr) plot(xx) plot(xx, col = colcode, add = T) legend("topleft", legend=names(attr(colcode, "table")), fill=attr(colcode, "palette"), cex = 0.75, bty = "n") I appreciate every hint! Thanks. Marco _

[R-sig-Geo] splancs and the use of a shapefile with a hole

ancs_poly" > > poi <- coordinates(poi) > splancs_poly <- getPolygonCoordsSlot(getPolygonsPolygonsSlot( + getSpPpolygonsSlot(pol)[[1]])[[2]]) > polymap(splancs_poly) __ Marco Helbich ISR A-1010 Vienna, Postgasse 7/4/2 [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo

[R-sig-Geo] test the OLS presumption by a GWR model?

Dear list members, i have calculated a GWR model and concerning to this, i have a question: should i test the 'local' gwr output with the standard 'global' test procedures of a OLS model (e.g. Breusch-Pagan-Test)? If yes, which one? best regards Marco _____

[R-sig-Geo] typing error shuts down R under GRASS

and i'm back in the grass command line mode?!?! Has anybody a solution? best regards Marco __________ Marco Helbich ISR Postgasse 7/4/2 A-1010, Vienna Tel.: +43 (0) 699 11 71 44 02 mail (a): [EMAIL PROTECTED] mail (b): [EMAIL PROTECTED] ___

[R-sig-Geo] illustrate kernel density estimation as wireframe

hello, how can i illustrate a kernel density estimation as an perspective plot or wireframe? enclosed you can find an kde example-code... library(splancs) data(uganda) plot(uganda$poly, type = "n", xlab = "x", ylab = "y", main = "Bsp KDE: Craters in Uganda") polygon(uganda$poly) points(uganda)