Read Shapefile In R

Continuing with my spatial series, in this post, I am going to demonstrate how you can import shapefiles into a SQL Server database. The goal of this project walkthrough will be to demonstrate the following: Draw regional boundaries from shapefiles. While talking to SAS users in Australia earlier this month, I often demonstrated the capabilities of the new Map Chart task in SAS Enterprise Guide 4. Shapefile does a lot of things right. I will be working in New Jersey and New York's boundary extends over the ocean not allowing me to see the detailed shoreline of each. All other types are converted into that type before plotting. So the object is of type SpatialPolygonsDataFrame. The version must be at least 1. How can I read ESRI polygon/polyline shapefile in R environment using rgdal or other library? can I get a syntax for it? Stack Exchange Network Stack Exchange network consists of 175 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. 7 The format described in this document is used by Geofabrik to create shapefiles and other formats for its clients. Also note that Lake Victoria is not currently reflected in the data. To save the data layer, right click and select Data > Export Data. Geographic features in a shapefile can be represented by points, lines, or polygons (areas) Is non-topological. The argument between R and something that isn't free is pretty self explanatory, but why would we want to do our GIS tasks in R over something else like GRASS that was designed for this purpose?. shx) enable good reading performance. Enter Search Criteria. We can fix that by plotting the same data over a folium Map instance. Load and plot the shapefile in PrecBrandenburg. The readShapePoints reads data from a points shapefile into a SpatialPointsDataFrame object. The other is to clip an existing shape file by using another polygon shape file (like using a cookie cutter) to create a new shape file. OSMaxx extract service, export to Shapefile (and GeoPackage etc. But the size of my shape file is around 20MB. In both cases, the function automatically determines whether the shapefile (or R object) contains points, lines, or polygons, and will then read in (or write out) the data using a more specialized function of the particular type. In one line of code, tigris will download a TIGER/Line shapefile from the Census Bureau for you, and read it into R with readOGR from the rgdal package to. Reading in a shapefile Shapefiles are one of the most common ways spatial data are shared and are easily read into R using readOGR() from the rgdal package. It is developed and regulated by Esri as a (mostly) open specification for data. Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. The help page for readShapePoints says that the file name that you supply should not include the extension. Integrating QGIS and R: A stratified sampling example. Evarts_R_Commgard. Using R — Working with Geospatial Data (and ggplot2) Posted on April 16, 2014 by Bethany Yollin This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. sf = TRUE) as. shx), and a dBASE table (. (5 replies) Hi everyone, Its have been very difficult to do an spatial join with R and I couldn't find any good manual about it. First, the shapefile is read, and then the points can be plotted using scatter, plot or the matplotlib function that fits better the needs. As you can see R first produces a histogram of the variable/s the user selects, which can be saved. This tutorial assumes that the elevation data (either as points. A Matplotlib path is made by two arrays. Add Features to Map. Introduction. Where to find spatial files. The layer is the name of shapefile without an extension. library(ggmaps) # for fortifying shapefiles # First read in the shapefile, using the path to the shapefile and the shapefile name minus the # extension as arguments: shapefile <-readOGR(" path/to/shapefile/ ", " name_of_shapefile ") # Next the shapefile has to be converted to a dataframe for use in ggplot2: shapefile_df <-fortify(shapefile). It will then know which other files to read into R such as projection information and attribute table. Shapefile Data - canoncamera. This is not a bug, it is a design feature. Creating map charts has never been easier: select your map data source, then select your response data source, and click Run. Tim and Doug talked after lunch) to use this format as much as possible when creating or manipulating data sets. in memory and the system will read from disk. To illustrate some different plot options and types, like points and lines, in R, use the built-in dataset faithful. Converting a geodatabase to shapefiles. R has some very useful libraries for working with spatial data. You are DONE. , 2002; see the complete list of MODIS products). Short of reworking R to be more memory efficient, you can buy more RAM, use a package designed to store objects on hard drives rather than RAM (ff, filehash, R. In R language, the conversion has been covered by Binbin Lu’s shp2graph (also his talk on UseR!). It can be compiled to the file SHPreader. Wizard for import of ESRI shapefiles from GIS applications allows quick conversion of shapefiles into Garmin GPS compatible map format. So I pre-created the table, still no rows were created. It does not have examples for you to cut and paste, its intention is to provoke the "Oh yes, that's how you do it" thought when stuck. an example might look something like:. library(maptools) library(sp) # Note that for each shapefile, you only need to read the. shp file will be the one we provide to SAS. Description Usage Arguments Value Author(s) References See Also Examples. Note: This article was written in 2012 and uses old versions of D3 and TopoJSON. This is performed with the help of bit operation i. com before any grant funds will be made available. Read & Write ESRI GeoDatabase. Joining Census Data Tables to Shapefiles in ArcMap. Or did you just order a shapefile from the Spotzi Datashop and do you want to import these shapefiles into Quantum GIS (aka QGIS)? Read the following instruction: Open QGIS and click LAYER > ADD LAYER > ADD VECTOR LAYER. Please make Zillow. For GIS software users, please find shapefiles below for the unsolicited lease requests. Describe the differences between opening point, line and polygon shapefiles in R. For example to read bounds. Fill those empty polygons with color, based on shapefile or external data. These functions may also be applied to obtain the first or last values in a vector. Download with Google Download with Facebook or download with email. pkg file and Install R; For Linux : For complete R System installation in Linux, follow the instructions on the following link ( Link) For Ubuntu with Apt-get installed, execute sudo apt-get install r-base in terminal. shp extension). dsn: data source name (interpretation varies by driver - for some drivers, dsn is a file name, but may also be a folder or contain a database name) or a Database Connection (currently official support is for RPostgreSQL connections). Many scientists believe the red-eyed tree frog developed its vivid scarlet peepers to shock predators into at least briefly questioning their meal choice. I am trying to write a code to convert x,y points from. Files can be loose or in a zip archive. Read polygon shape files into SpatialPolygonsDataFrame objects Description. If specified as an '*' (asterisk), the actual width is read from the next element of the tuple in values, and the object to convert comes after the minimum field width and optional precision. Please read the Stata help file for spmap to learn about the many additional options for customization of maps. Using Basemaps from ArcGIS Online 4. The shapefile function in the raster package is very convienent in that it can both read a shapefile into R but it can also write a SpatialPoints or other spatial object classes (lines, polygons, etc. In one line of code, tigris will download a TIGER/Line shapefile from the Census Bureau for you, and read it into R with readOGR from the rgdal package to. Data formats include downloadable shapefiles, web services, KML files and our basemaps in shapefile format. gdb folder is the “feature” layer. x – A matrix, data frame, or vector. This workshop/tutorial will explore how to work with vector spatial data in R. This article is about importing ESRI Shapefiles into OSM. To save a plot to an image file, you need to tell R to open a new type of device — in this case, a graphics file of a specific type, such as PNG, PDF, or JPG. If reading a shapefile, the data source name (dsn= argument) is the folder (directory) where the shapefile is, and the layer is the name of the shapefile (without the. We will want to be able to match the zip code variable in both datasets together, so we first look at the contents of our map dataset to note the format and match it in our dataset. In the previous post, I outlined how to get PostgreSQL/PostGIS set up on a Mac and how to get R talking to PostgreSQL. Both reading and writing can be carried out for 2D and 3D point coordinates. shx), and a dBASE table (. One challenge that arises in this type of deployment is that R is a tool which is intended to be used by trained personnel with familiarity of R or the Python programming language. However, I strongly recommend using rgdal and raster to read data into sp objects, and rgdal and plotKML for writing spatial data. points) and create Shapefiles from those automatically. Right-click on the waypoint shapefile > Open Attribute Table. The best way to learn Network Analyst is to use it. uk to help you find and use open government data. Hi Friends, In my last blog post, I explained what shape files are and demonstrated how you can explore them. Reading in a shapefile Shapefiles are one of the most common ways spatial data are shared and are easily read into R using readOGR() from the rgdal package. The code was written by Edwin van Rijkom under the LGPL license, with some additions by Andy Woodruff, and some slight modifications for use in StatPlanet. Gapuwiyak Town Map ¶ In [1]: from IPython # Fetch an exported CSV of the data from the GeoODK App df = pd. I do not endorse them philosophically, but as they are the lingua franca of most open source and closed source tools, and are easily transmuted into anything with ogr2ogr , I will write about them as if they are okay. The shapefile standard is public, so any software can be made to read or write shapefiles. The first approach is to use either geojsonio or rgdal (packages) to read GeoJSON/TopoJSON as sp objects. Where to find spatial files. shape(filen) ## S3 method for. delim, write. read_sf and write_sf are quiet by default: they do not print information about the data source. As you can see R first produces a histogram of the variable/s the user selects, which can be saved. This shapefile includes boundaries for the following Regulated Areas: - Southern New England Management Area. I used to perform the conversion with this tool. Explain the difference between point, line, and polygon vector elements. ” It sounds good, but the truth is, there’s no quick way to get fit. Read past news articles in our archives section It is my pleasure to serve as Auditor of Hamilton County Ohio. A shapefile is not a single file, but rather several files used to create geographic features on a map. This format is composed by several files that you need to keep together in the same folder. Plotting points is a bit more complicated. Shapefile data should not be uploaded to OSM until consideration has been given to making the data topologically. roi files to shapefiles that you can use for classification training data. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. Making maps in R - cengel. From Wikipedia: The Esri* Shapefile or simply a shapefile is a popular geospatial vector data format for geographic information systems software. Reading in spatial data 50 xp Reading in a shapefile 100 xp Reading in a raster file 100 xp. The earth is divided into 60 zones, each 6° wide in longitude (with the exception of a few non-standard-width zones for Svalbard and southwest of Norway). To import shapefiles you use the R function readOGR(). lines_HARV contains 13 features (all lines) and point_HARV contains only one point. Clark, Director POTENTIOMETRIC SURFACE MAP OF THE BEDROCK AQUIFERS OF WAYNE COUNTY, INDIANA Wayne County is located in the east-central section of Indiana, adjacent to the state of Ohio, and is bounded by the counties of Randolph, Henry, Fayette and Union. huge, or bigmemory), or use a library designed to perform linear regression by using sparse matrices such as t(X)*X rather than X (big. While the format is proprietary, the specification is open. 7th Ave, Suite 1260 Anchorage, AK 99501-3557 Phone: (907) 269-8400 Fax: (907) 269-8901 TTY: (907) 269-8411. Your session has expired! Your session will expire in seconds! seconds!. Parcel data also enables. However the creation of a KML file independent of R code is useful for further geographic analysis, presentations, and online distribution. , 2002; see the complete list of MODIS products). The current position within the stream is advanced by the number of bytes read; however, if an exception occurs, the current position within. Importing data into R is fairly simple. Edit: 2017-11-26 Updated example Edit 2: 2018-10-22 New version + Updated example Note: For any comments/assistance with the Rnightlights package it may be easier to post on the package page. The R graphics model does not distinguish graphics objects at the level of the driver interface. dbf file, or table view to convert. It is important to know how to work with shapefiles in R to access incredible functionality and analytic ability--much of which is unavailable in many GIS software packages. Right-click on waypoint shapefile > Properties; Symbology tab. All the data sets are read into R as sf data. Take on record breaking thrills, like the longest waterslide at sea. Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. I would >like to import the shapefile with the study area polygons (six total) into R >and use it to create the window for the spatstat analysis. It stores the data as primitive geometric shapes like points, lines, and polygons. ) to a shapefile. Precision (optional), given as a '. Please note that the code is very introductory, far from comprehensive, and there might be some errors or better ways of performing a task. A layer file (. We needn’t to reinvent the wheel. The Microstation help file has a complete section about it. Many TIGER/Line shapefiles are available from the Census Bureau by state and/or by county; tigris is smart about handling state/county FIPS codes and allows you to supply their names instead. “This example demonstrates use of three R geospatial packages to read and write ESRI Shape Files. The "system. We apologize for any inconvenience. 1 to indicate a missing value. Shapefiles are simple because they store primitive geometrical data types of points, lines, and polygons. ) based on bounding box for whole world with data about a day old. read_sf and write_sf are quiet by default: they do not print information about the data source. ; Media requesting interviews with economists should use the email [email protected] Cite R Package Clip Shapefile Data: Climate Data: Fire Data Manipulation Data: Spatial Data: Species Data: Vegetation Dates Debugging Distributions Gbif Glm Leaflet (R Package) Mapping Mapzen Plotting Polygon Projections Raster Stack Reclassify Raster R Markdown R Package: Dismo R Package: Ggplot2 R Package: Maps R Package: Raster R Packages R. Leave a Reply Cancel reply. We also described different ways for reading and writing Excel files in R. Physical and political geography in shapefile format. We can fix that by plotting the same data over a folium Map instance. Lets explore the object that is created, beginning with what type it is. They are in the MrSid format that can be visualized in DIVA-GIS (note: they are in UTM projections, so you will need to project your shapefiles to UTM as well). Create interactive maps and apps and share them with the rest of your organization. Census Bureau Blockgroups data set near San Francisco, CA and available in the git repository of the PyShp GitHub site. We will also reproject data imported in a shapefile format, and export a shapefile from an R spatial object and plot raster and vector data as layers in the same plot. If you want to extract the entire dataset to a shapefile or CSV file, you can use the Extract Data tool or export the data following the instructions in Use hosted layers. So the object is of type SpatialPolygonsDataFrame. OGI's parcel data displays a wealth of information that is associated with properties including valuations, ownership, service areas, environmental factors, and more. Current community area boundaries in Chicago. Making maps in R - cengel. This contains the country codes used in the log file (the dataset object above). If you have Tableau Desktop version 10. usgeo <- read_shape(file=usshapefile, as. “If a gym, trainer, or class promises to make all your dreams come true in six weeks,. zip file that contains the required shp, dbf and shx files, as well as the option prj file that contains coordinate projection system info. shp is the main file and contains feature geometry. However the creation of a KML file independent of R code is useful for further geographic analysis, presentations, and online distribution. A zip file with the Vector data as KML files and the Raster data as TIFF images. prj file (part of a set of ESRI shapefiles) and get it in a CRS compatible format (handled by the PROJ. Both reading and writing can be carried out for 2D and 3D point coordinates. Shapefiles are simple because they store primitive geometrical data types of points, lines, and polygons. The shapefile format is simple. shp), an Index file (. Wizard for import of ESRI shapefiles from GIS applications allows quick conversion of shapefiles into Garmin GPS compatible map format. This is performed with the help of bit operation i. The Production Geodatabase to Shapefile tool creates shapefiles based on the options you choose for exporting the feature classes and their attributes. filename to read the data from or a binary connection or a raw vector with the data content. The only thing bad about R is that you have to know the lambda-calculus in order to build your own recursive function. Hi Friends, In my last blog post, I explained what shape files are and demonstrated how you can explore them. Colorado Oil and Gas Conservation Commission website. The 8-county shapefile was used to clip the remaining statewide data layers. There is no “CSV standard”, so the format is operationally defined by the many applications which read and write it. He and his team are focused on optimizing C2FO’s capital markets through applied machine learning and developing contemporary quantitative risk management systems. PRJ file reflecting this projection is included for each shape. Right-click the photo points shapefile and highlight Edit Features. Importing Shapefiles with "sf" R package. There are two things you need for your shapefile before you can visit Shape Escape to start the conversion process. Can you list all column names of the dbf file? Open the dbf file with XL, select first row, paste in the message thread. Click on OPEN. Read on Safari with a 10-day trial. dbf file contains the attributes of the feature. , project_clip ) and specify that it is a polygon feature type 5. Note: if you found a. To save the new layer file as a shapefile, right click on the geo-information type (points, lines, polygons have to be saved in separate shapefiles) you want to save and select Data/Export Data… Click on the folder icon and name shapefile you want to export. All other types are converted into that type before plotting. shp is found, perform a conversion. Download Free Shapefile Maps - Shapefile is one of the most common and extensively use vector file format of GIS (Geographical Information System), developed by ESRI as an open Specification, which consist of collection of files viz. Shapefile points are labeled with Ground Elapsed. Links to access GAP/LANDFIRE National Terrestrial Ecosystems 2011 Data, Metadata and Web Services. All the data sets are read into R as sf data. Databases can be exported to shapefiles that can then be used with ArcGIS Desktop Basic or delivered to a customer. In previous articles, we described the essentials of R programming and provided quick start guides for reading and writing txt and csv files using R base functions as well as using a most modern R package named readr, which is faster (X10) than R base functions. We will learn about how to read and plot shape files in R and we will try to explore household income data for the United States using. In spatial data analysis, we primarily work on two types of data. From here, check the number of records in. The below will show you how subset works and provides some subset examples. This workshop/tutorial will explore how to work with vector spatial data in R. js, which relies on the magical D3 library. time-stamps. There are two methods you can use. Matthew Ingram 9,425 views. ' (dot) followed by the precision. Along with the maptools package, install the rgeos and sp packages. R is great not only for doing statistics, but also for many other tasks, including GIS analysis and working with spatial data. Sp enables transformations and projections of the data and provides functions for working with the loaded spatial polygon objects. This workshop/tutorial will explore how to work with vector spatial data in R. However, I strongly recommend using rgdal and raster to read data into sp objects, and rgdal and plotKML for writing spatial data. Uganda regions shapefile. The fastest and easiest way to open your SHAPE file is to double-click it. Read points shape files into SpatialPointsDataFrame objects Description. The main two ways to read in spatial data use the rgdal package, and the sf package. Convert table of coordinate to shape file using R. ; To sign up for Zillow Research news, inquire about collaborations and request specialized data, use the Zillow Research contact form below. You are DONE. uk to help you find and use open government data. Installing Python Shapefile Library (PyShp) The Python Shapefile Library (pyshp) provides read and write support for the Esri Shapefile format. We derived a shapefile of astronaut loca-tions as a function of time (Fig. Gapuwiyak Town Map ¶ In [1]: from IPython # Fetch an exported CSV of the data from the GeoODK App df = pd. delim, write. The below will show you how subset works and provides some subset examples. It is important to know how to work with shapefiles in R to access incredible functionality and analytic ability--much of which is unavailable in many GIS software packages. One is to select a portion of an existing shape file and export that to a new shape file. Tutorial: Rendering a World Map in ActionScript | vis4. From the drop-down menu on the Editor Toolbar select Stop Editing > choose to Save Edits. Introduction to Shapefiles in R. This is your short vacay, turned way, way up. And, don't miss the last step: A tiny code snippet changes a static map. During this process, some items may be moved or unavailable. The other one is spatial data, which we are particularly interested in this class. What approach are you using to import Resource Description Framework data into R? There is minimal support with the R package Rredland, but that seems rather spartanic. Drive confidently with personal navigation devices designed for cars, trucks, motorcycles and RVs. The data can be viewed on the Chicago Data Portal with a web browser. One with the points (called vertices in the script), and the other with the functions for every point (called codes). Explain the difference between point, line, and polygon vector elements. Using the R Script data connector in Power BI Desktop, you can now take your existing R code and use Power BI to visualize it, share it, and operationalize it. State of Rhode Island: Department of Environmental Management. (Please refer to section Creating a new GRASS vector layer for more information on creating GRASS vector layers. Not sure if this is the right forum as this is a combination of GIS and Python but figured I'd try. Learn more about mapping, shapefile Mapping Toolbox. Department of Commerce John E. I've just started working with GeoJSON files, and I've been finding it very inconvenient to handle on Alteryx. Separate shapefiles for points, places, waterways, roads, railways, landuse and buildings with relevant tags, then shapefiles with all points, lines and polygons together. Tabular data. SHP is short for "shape. Processing GeoData Files using QGis functions in Matlab It's always really useful to streamline your workflow, so that the processes can be seamless and efficient. , points, lines, and polygons). Continuing with my spatial series, in this post, I am going to demonstrate how you can import shapefiles into a SQL Server database. Reading in a shapefile Shapefiles are one of the most common ways spatial data are shared and are easily read into R using readOGR() from the rgdal package. The hightlighted lines in the code are the ones that do the job. dbf extension. Open the ArcToolbox, and navigate to Conversion Tools. SHAPE files have a "Low" Popularity Rating; this means that they are not present on most devices. All other types are converted into that type before plotting. We can write an R spatial object to a shapefile using the st_write function in sf. "Shapefiles" consist of several files with the same basename that reside in the. Reading and writing graphs GIS Shapefile. Brazos County GIS Data. Joining Data Whendoingspatialdataanalysis,itisquitecommontoneedtomergedifferentdatasetstogether. The elements of the two files are linked by their offsets in the file: the first geometric feature (offset 0 in the shp) has its. This will allow us to map data for complicated areas or jurisdictions like zipcodes or school districts. If you wish to map certain points of interest, routes, or polygons but cannot find a shapefile, you can create your own. The instructions assume a field of z-values already exists in the attribute table of the shapefile. The trick is to save the shapefile as a GeoJSON and plot it with folium's. shp file will be the one we provide to SAS. The map includes point, line, and polygon data layers along with dam labels, a legend, and optional coordinates along the axes. Free Digital Terrain Data, LULC Data, DLG Data, books, vidoes, sorftware and more. We can use a polygon from a vector layer to crop the raster to the exact shape. to output object of class "linnet". 0, i also set it to read files with *all* extensions. Figure 2: Length of country names (small scale map, blue palette) Click image to enlarge. This may prove to be the best map source to use since its areal units are designed to match the records in the income data table. Rgdal is what allows R to understand the structure of shapefiles by providing functions to read and convert spatial data into easy-to-work-with R dataframes. dbf) are an extract of selected geographic and cartographic information from the U. All the data sets are read into R as sf data. file" part of the example in the help page is only to use the example file that came with the package. 0 500 1000 1500 2000 2500 3000 Elevation (in m) 0 5 10 15 20 25 Annual Mean Temp (°C) Adding Spatial *object to raster We will add the lake, rivers and administrative boundaries. Convert table of coordinate to shape file using R. Also note that Lake Victoria is not currently reflected in the data. I do not endorse them philosophically, but as they are the lingua franca of most open source and closed source tools, and are easily transmuted into anything with ogr2ogr , I will write about them as if they are okay. It is assumed that you know how to enter data or read data files which is covered in the first chapter, and it is assumed that you are familiar with the different data types. An R-Tree basically stores the bounding box of the geometry as the index. Read More BOEM and CPRA have signed two agreements to aide in the restoration of Louisiana’s Gulf coast. “If a gym, trainer, or class promises to make all your dreams come true in six weeks,. The below will show you how subset works and provides some subset examples. Integrating QGIS and R: A stratified sampling example. Loading Multiple Shapefiles to the R-Console Simultaneously A quick tip on how to load multiple shapefiles (point shapefiles, i. The shapefile function in the raster package is very convenient in that it can both read a shapefile into R but it can also write a SpatialPolygons or other spatial object classes (lines, polygons, etc. sf only needs to be given the *. shapefile calls read. get then read the shapefile into a geopandas dataframe. You will need ArcReader or similar software to view the shape files. R can draw both vertical and Horizontal bars in the bar chart. He and his team are focused on optimizing C2FO’s capital markets through applied machine learning and developing contemporary quantitative risk management systems. dbf extension. ('Downloading shapefile') r = requests. names(unique=TRUE). One is tabular data as used in most statistical analysis. All of the data sets are stored in one list, each element of. But the size of my shape file is around 20MB. This is not a bug, it is a design feature. Not to be able to read a particular 'DBF' file is not a bug: this is a convenience function especially for shapefiles. We will learn about how to read and plot shape files in R and we will try to explore household income data for the United States using. n – The first n rows (or values if x is a vector) will be returned. Our goal is to help you understand what a file with a *. You can set up Plotly to work in online or offline mode. S = shaperead( 'worldcities. For example to read bounds. Creating map charts has never been easier: select your map data source, then select your response data source, and click Run. Reading it in using proc mapimport, we can indicate to SAS the nature of the file and create a dataset that can be used with proc gmap. I realized that if i use writeOGR from rgdal and not the other write shapefile functions i can get a shapefile with projection recognized by ArcGIS. Here’s an example using publicly available GeoJSON file:. default FALSE: some shapefiles provided by Geolytics Inc. These differences can make it annoying to process CSV files from multiple sources. One with the points (called vertices in the script), and the other with the functions for every point (called codes). Reading in a shapefile Shapefiles are one of the most common ways spatial data are shared and are easily read into R using readOGR() from the rgdal package. The result of read. “Just 30 minutes of exercise a day, three times a week, and you could have a totally ripped body in as little as six weeks. Reading shapefiles into R. Xbase mode can be used with Emacs to read xBase files. This file format was developed by ESRI (a notable GIS Software Company). Right-click on waypoint shapefile > Properties; Symbology tab. The shapefile (or ESRI shapefile) format is a geospatial vector format, and is one of the most commonly used map formats. shp file will be the one we provide to SAS. ESRI Shapefile Reader - Source Code. To read a shapefile create a new "Reader" object and pass it the name of an existing shapefile. The Layer to KML tool will ask you for the Layer title: put in the name of the layer you added to your map document. Importing data into R is fairly simple.