search for: spatio

...t is the best way to get a single real value that represents the interaction "power"? 2) How to obtain a value that even allows me to rank the pairwise point patterns according to their interaction "power"? PS: I have to perform the same analysis for temporal interaction and spatio-temporal interaction. Thanks in advance for your help Best Regards Massimiliano Ruocco

Dear R-listers, I would like to carry out a very basic descriptive analysis of homicides rates in Italy, taking into account both the spatial dimension (103 provinces) and the temporal dimension (10 years), but no covariates. In practice, what I would like to do is to describe spatio-temporal variation of homicide rates, identifying those combinations of province-year where the homicide rate is either over- or underrepresented based on Poisson expectation. Is it possible to carry out such an analysis with R? If so, what package should be preferred? GLMMGibbs, geoRglm, and f...

I have a dataset like this: sites years Var1 Var2 1 1960 505 3.013833 1 1961 533 4.118784 1 1962 609 14.96386 1 1963 465 -3.74409 1 1964 837 41.70164 1 1965 727 29.53478 2 1960 493 3.269235 2 1961 535 5.386015 2 1962 608 16.26244 2 1963 469 -2.09736 2 1964 830 42.01942 2 1965 715 29.92867 3 1960 489

Dear R-helpers, I have 4-dimensional atmospheric data (x,y,z,t), which I want to analyse on spatio-temporal diversities. As far as I understand there only exists the possibility to construct time series as two-dimensional matrices (mts). For the moment, I hold it in different objects: 1. a four-dimensional array for the spatial related analyses 2. a two-dimensional mts timeserie, which was deri...

Dear R-Users, I have a model with a latent variable for a spatio-temporal process. I would like to use EM algorithm to estimate the parameters. Does anybody know how to implement the algorithm in R? Thank you very much in advance, Michela

Dear sirs, I'm using the Splancs package to compute standard errors of the estimates of a spatio-temporal k function. When I use as spatial and temporal distances too long vectors (respectively 60 and 80 entries) for a dataset of 1000 observations, R gives me the message Error: cannot allocate vector of size 180000 Kb Reached total allocation of 512 Mb. I ran the function memory.size() and...

Dear R-Users, I'm using SSPIR package for a spatio-temporal application. Is it possible to modify the structure of the involved matrixes (Fmat, Gmat, Vmat,Wmat)? I want to create a model like this #y(t)=k*theta(t)+epsilon(t) #theta(t)=h*theta(t-1)+eta(t) #epsilon(t) N(0,V) V=sigma2*I #eta(t) N(0,W) W=sigma2_eta where the state...

Hi all, I'm using RScalapack library for parallelizing some heavy matrix operations required by MCMC methods for spatio-temporal models. The package reference manuals (dated 2005) states that the library needs LamMPI to work but we have a Linux Cluster with OpenMPI. We have found (http://cvs.fedoraproject.org/viewvc/devel/R-RScaLAPACK/) a patch for OpenMPI but we are wondering if in the meanwhile the package has bee...

Hi, I started using R about 3 months ago so please excuse my ignorance. I have two datasets. The first consists of 247 fixed position mosquito traps that were serviced weekly for 23 weeks. The second is dengue incidence data indexed to home address for the same time period. I would like to see if there is a space time relationship between mosquito catch rate and dengue incidence. So far I have

> library(SpatioTemporal) > library(plotrix) > library(maps) > palay.cov<-read.csv("C:/Users/BEDANA-PC/Desktop/STThesisWD/Thesis Data/palay.covar.csv") > palay.o<-read.table("C:/Users/BEDANA-PC/Desktop/STThesisWD/Thesis Data/palay.obs.txt") > palay.obs<-as.matrix(palay.o)...

Greetings I'm using R 2.8 with recent (last month) versions of the packages I need to use at present. I'm interested in examining hierarchical spatio-temporal patterns in a data set. The data consist of 94 points (X, Y, UTM coordinates) at which catch rates for a fish were recorded and there are also estimates of prey available for these fish at the same locations. I have reason to believe that the relationships between predator...

...ence in marine sciences is preferred. The successful candidate will join an experienced scientific team at the forefront of marine ecological predictive analytics. The initial assignment for this position will involve developing, implementing, and running machine-learning models for predictive spatio-temporal modeling of marine bird and groundfish distributions to support marine planning processes. Additional potential projects include predictive modeling of deep sea corals, marine mammals, sea turtles, marine fish, fishing fleets, and marine ecosystem processes. ? Core responsibilities Pr...

...K, which requires an ESRI global account. Reading the OGR format file would tell you that, no? Roger > > I am very interested in this issue since I am a regular user of ArcGIS > (teaching) and R (research). > > Michael > > >> >> Another issue is reading/writing spatio-temporal features (netcdf does >> spatio-temporal grids/arrays pretty well it seems); rumours go that >> ArcGIS might, in the near future, support reading/writing SpatiaLite. >> >> With best regards, >> -- >> Edzer Pebesma >> Institute for Geoinformatics (...

...es, reports and folders in publications. This site should provide a clearer vision of cybersecurity and possible responses to cyberthreats, as well as, more broadly, an enhanced vision of certain conflicts, including cartographic analysis, and dynamic visualization (interactive graphics showing spatio-temporal, quantitative and qualitative data). In addition to databases and online mapping, this multilingual site will provide a summary presentation of the various national cybersecurity laws and a summary indicator in this field. Its ambition is to become an international reference on contemp...

I have a data assimilation problem that might be amenable to the use of GAMS, but I am not sure how feasible it is to implement. I was told the R mailing list was a great resource. My observations are spatiotemporal salinity in the San Francisco Bay at a number of instruments over a few days. The thing that I want to fit is the initial condition for a salt transport model at the beginning of this time period. The spline basis functions, parameters and curvature penalties would all be purely spatial, th...

Dear R users, I'm currently trying to make level plots of a longitudinal study of the spatio-temporal spread of a plant disease in a field, but the results of the color key assignment isn't what I expect. Here's more info. I recorded the level of a disease on an ordinal scale from 0 (no disease) to 9 (dead plant) on a grid that has 9 rows and 14 columns. The disease level on each...

Hi, I've got a new dataset which I don't know how to analyze with R. My knowledge about R is limited for this kind of problem. I've tried to find a solution with some spatio temporel packages and lme/lmer functions, but didn't find any similar example. I've got 10 locations on a coast on which the number of walrus was noted. I've got a distance measure between each location. We also have an indicator of the presence of tourists, and the number of seals. Th...

...ods version of the package), I've got a second class of objects, i.e. the data views (possibly customized themselves), which I'd like to think about. In particular, I'd like to be able to extend/subclass "grandtour", for example, to regular ("nice") longitudinal and spatio-temporal data, i.e. classify the methods, not just the data being acted on by the methods. I think I'm missing something really obvious here, and I suspect it is related to using too many object-oriented systems (I'm more used to Python's, right now, for example; but even with Java, th...

Hello R users, I have two data sets like the following. Form of dataset: data: X1 X2 X3 X4 X5 1902 RE 3 594 9 1903 RE 3 1340 7 1904 AA 3 760 14 1908 RE 4 1759 18 1909 EX 2 387 1 2901 AU 6 3116

How do you specify matrix location a[i,j] (or a[i-1,j], etc.) in a "for" loop? I am looking for a flexible method of indexing neighbors over a series of lags (1,2,3...) and I may wish to extend this method to 3D arrays. Example: Data matrix > fun [,1] [,2] [,3] [1,] 1 5 9 [2,] 2 6 10 [3,] 3 7 11 [4,] 4 8 12 For each element a[i,j] in