mapReasy

Produce administrative boundary map, visualize and compare different factors on map, tracking latitude and longitude, bubble plot. The package provides some handy functions to produce different administrative maps easily. Functions to obtain colorful visualization of different regions of interest and sub-divisional administrative map at different levels are included. This csn be used to increase feasibility of mapping disease pattern across different regions (disease mapping) with appropriate colors having intensity coherent with magnitude of prevalence. In many surveys, information on location of sample are collected. Sometimes it is of interest to quick look at the spreadness of the collected sample, check if any observation falls outside of the survey area and identify them. The package provides unique function to perform these tasks easily. Besides, some additional features have been added to make ad-lib comparison of different factors across the region through these maps. Visual presentation of two different variables on a particular map using two way bubble plot is also provided. Simple bar chart and pie chart can be produced on map to compare several factors.This package will be helpful to researchers-both statistician and non-statistician, to create geographic location wise plotting of different indicators. These types of maps are used in different research areas such public health, economics, environment, journalism etc. It provides functions that will also be helpful to users to create map using two indicators at a time (for example, shade on a map will give the information of one indicator variable, bar/pie/bubble chart will give the information on another indicator). Users only need to select the indicator's value and country wise region specific shapefile and run the functions to find their graphs quickly.The distinguishable features of the functions in this package are they are easy to understand to new R users who are searching some ad-lib functions to produce administrative map with different features and easy to use for those who are unfamiliar with file format of spatial data or geographic location data. Functions in this package adopt, compile and implement functions from some well-known packages on handling spatial data to make an user friendly functionality. So users do not need any additional knowledge about spatial statistics or geographic location data. All the examples presented in this package use shapefile of country Bangladesh downloaded from . Users are requested to visit , then select Download, then choose country and shapefile from country and File format dropdown menu. After downloading the shapefile of any particular country as compressed file, unzip the file and keep them in a known directory or working directory. Shapefiles of respective countries will be required to produce corresponding country maps. Use shapefile of corresponding country to produce all types of maps available in this package.