Showing 109 of total 109 results (show query)

bstabler

shapefiles:Read and Write ESRI Shapefiles

Functions to read and write ESRI shapefiles.

Maintained by Ben Stabler. Last updated 3 years ago.

62.4 match 5.33 score 364 scripts 15 dependents

jlacko

RCzechia:Spatial Objects of the Czech Republic

Administrative regions and other spatial objects of the Czech Republic.

Maintained by Jindra Lacko. Last updated 2 days ago.

czech-republicshapefile

10.0 match 25 stars 6.87 score 85 scripts

spatstat

spatstat:Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.

Maintained by Adrian Baddeley. Last updated 2 months ago.

cluster-processcox-point-processgibbs-processkernel-densitynetwork-analysispoint-processpoisson-processspatial-analysisspatial-dataspatial-data-analysisspatial-statisticsspatstatstatistical-methodsstatistical-modelsstatistical-testsstatistics

3.1 match 200 stars 16.32 score 5.5k scripts 41 dependents

usaid-oha-si

gisr:Geospatial Analytics Utility functions

R Spatial functions for HIV/AIDS related Geospatial Analytics.

Maintained by Baboyma Kagniniwa. Last updated 1 years ago.

gismap

8.5 match 2 stars 5.29 score 328 scripts

pifsc-protected-species-division

picMaps:Mapping Utilities for The Pacific Ocean

This package provides objects and functions for making plots and maps easier to create in the Pacific Ocean.

Maintained by Devin S. Johnson. Last updated 13 days ago.

3.3 match 3 stars 3.38 score 4 scripts

miguel-porto

SiMRiv:Simulating Multistate Movements in River/Heterogeneous Landscapes

Provides functions to generate and analyze spatially-explicit individual-based multistate movements in rivers, heterogeneous and homogeneous spaces. This is done by incorporating landscape bias on local behaviour, based on resistance rasters. Although originally conceived and designed to simulate trajectories of species constrained to linear habitats/dendritic ecological networks (e.g. river networks), the simulation algorithm is built to be highly flexible and can be applied to any (aquatic, semi-aquatic or terrestrial) organism, independently on the landscape in which it moves. Thus, the user will be able to use the package to simulate movements either in homogeneous landscapes, heterogeneous landscapes (e.g. semi-aquatic animal moving mainly along rivers but also using the matrix), or even in highly contrasted landscapes (e.g. fish in a river network). The algorithm and its input parameters are the same for all cases, so that results are comparable. Simulated trajectories can then be used as mechanistic null models (Potts & Lewis 2014, <DOI:10.1098/rspb.2014.0231>) to test a variety of 'Movement Ecology' hypotheses (Nathan et al. 2008, <DOI:10.1073/pnas.0800375105>), including landscape effects (e.g. resources, infrastructures) on animal movement and species site fidelity, or for predictive purposes (e.g. road mortality risk, dispersal/connectivity). The package should be relevant to explore a broad spectrum of ecological phenomena, such as those at the interface of animal behaviour, management, landscape and movement ecology, disease and invasive species spread, and population dynamics.

Maintained by Miguel Porto. Last updated 6 months ago.

animal-movementheterogeneous-landscapesmovement-ecologyriver-networkssimulation

1.8 match 15 stars 6.08 score 27 scripts 1 dependents

evolecolgroup

geoGraph:Walking through the geographic space using graphs

Classes and methods for spatial graphs interfaced with support for GIS shapefiles.

Maintained by Andrea Manica. Last updated 10 days ago.

1.8 match 4 stars 3.30 score 2 scripts

ifpri

STATEROOM:SpaTiAl resulTs gEneRatOr fOr iMpact (STATEROOM)

Spatial results generator for IMPACT.

Maintained by Abhijeet Mishra. Last updated 2 years ago.

3.6 match 1.00 score

sam-data-guy-iam

mapStats:Geographic Display of Survey Data Statistics

Automated calculation and visualization of survey data statistics on a color-coded (choropleth) map.

Maintained by Samuel Ackerman. Last updated 1 years ago.

1.9 match 1.00 score 4 scripts