R Shapefile Function

simple convert. This file stores the attributes for each shape; it uses the dBase IV format. This parameter controls how FME reads these numeric types and influences how they will be written out at the end of a transformation. Stick to maptools and rgdal that actually provide tools for reading a shapefile. Shapefiles are a popular method of representing geospatial vector data in GIS software. The Shapefile format is a popular Geographic Information System vector data format created by Esri. Cartopy provides an interface for access to frequently used data such as the GSHHS dataset and from the NaturalEarthData website. A shapefile consists minimally of a main file, an index file, and a dBASE table. rpm: Read and Write ESRI Shapefiles. The spatial extent of a shapefile or R spatial object represents the geographic "edge" or location that is the furthest north, south east and west. Hi, I am reading from a CSV file, using Lat, Long to create a line shapefile (This is done successfully), at the same time, creating fields and adding values from the CSV to the shapefile. Re: SDO to shapefile roytmaned Apr 26, 2006 9:01 PM ( in response to 10219 ) any ESRI product can pretty much connect to Oracle and read Oracle shpefile format and convert it with build-in converter if you need. ZIP Code Tabulation Areas (ZCTAs) are generalized areal representations of United States Postal Service (USPS) ZIP Code service areas. 'fun=sum' indicates that the sum of the raster cells within each polygon (zone) are being calculated, but a range of statistics can be performed. For the United States, many shapefiles are available from the Census Bureau. Flickr Shapes. The function save() can be used to save one or more R objects to a specified file (in. We name it shp_df. Shapefile Technical Description Computer programs can be created to read or write shapefiles using the technical specification in this section. For reading a shapefile, there are a number of functions included in different R packages (see rgdal, maptools, shapefiles, and others). to_file()-function:. I would like to implement 'rgdal' to read the file into R. Within FWTools, the Geospatial Data Abstraction Library (GDAL) includes file conversion and manipulation tools, including the ogr2ogr utility, demonstrated here. You may wish to modify the projection of your Quantum project or layers to alter the perspective of the map – you must ensure that each Shapefile you wish to merge is set to the same projection. after importing the shapefile into R easily in R, thanks to 'spTransform' function. Read the shapefile into R (we name it shp). exists("london_sport. This MATLAB function reads the shapefile, filename, and returns an N-by-1 geographic data structure array in projected map coordinates (a mapstruct). The most used plotting function in R programming is the plot() function. One of the sources could be this site, but any source with open. Dear all, When cropping a raster using a shapefile, through 'crop' function from "raster" package, only the extent is taken into account: > R-sig-geo Search everywhere only in this topic. I would like to expand on this function. A shapefile is a file-based data format native to ArcView 3. I found the following code on SO, but I was unsuccessful in adapting it. The function calls code from shapelib to write a polygon-type shapefile (both the geometry file with a *. Map and analyze raster data in R Posted on March 30, 2015 by [email protected] We are particularly interested in the geospatial metadata , describing the format, CRS , extent , and other components of the vector data, and the attributes which describe properties. The values contained in the polygons (that you see e. Look closely at > his naming of objects and your example code using spTransform. I’d recommend using OGR (the OGR2OGR function) to convert from shapefile to one of those three, then load that result into sql server. Aaron generated Flickr Shapetiles from geotagged Flickr photos, which have up to six associated Where On Earth (WOE) IDs. Lets start with reading a shapefile. Free GIS Maps, ArcGIS Shapefiles & Geospatial Data for Digital Cartography. The inputs to this function are a simple data frame of points (for points, polyLines, or polygons) and a data frame representing the dbf file. I have a function that determines what is high. Examples are below. The next step is to read into R the maps we want to display in our web map. The likelihood of a Statalist member knowing a shapefile guaranteed to work in Stata is somewhat less than the likelihood of someone reproducing your problem and finding a solution using one of your current shapefiles. Update window functions to be flagged as taking input geometry winset Update templste. Over the years I've seen plenty of questions on how to read shapefiles in R and I've noticed that it can be confusing for some, at least it was for me. 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. # function to load shapefile map as spatialpolygonsdataframe (with: simplifcation & transformation) load_shapefile <- function ( file , layer , validate = FALSE , transform = TRUE , simplify = NULL ) {. Use anchor/link tags for the button and wrap it in a div with the class header-button. Points in Polygons Data Function for TIBCO Spotfire® Geospatial data can come in several forms, for example locations of specific points, or polygons that define areas of interest. We can do so with the function writeOGR in the package rgdal. One solution is to first convert the shapefile into a data frame, then thin the data frame. ArcGIS the first argument dsn is the path to the folder which contains the shapefile. rda file formats). A shapefile is a file-based data format native to ArcView 3. R: Gradient plot on a shapefile. shapefiles_20. I can see this problem, and agree that a generic solution would be welcome; however, the problem is not specific to this R package, and a solution also supported by e. In Spark 2. An ESRI shapefile consists of a main file, an index file, and a dBASE table. 0 Content-Type: multipart/related; boundary="----=_NextPart_01C180F2. We can save our firstPoints object as a shapefile using the raster package. This MATLAB function reads the shapefile, filename, and returns an N-by-1 geographic data structure array in projected map coordinates (a mapstruct). This has multiple advantages, as objects of class sf accept tidyverse functions for data wrangling and are much faster to work with. if someone knows an efficient method for batch downloading Sentinel-1 and Sentinel-2 images thru R function. When applying a function to a mosaic dataset, the function remains applied to the mosaic dataset during distribution it, such as when sharing and publishing. attributes fields GDAL manipulating OGR open source R read Shapefile write reading shape files in R If I would like to adjust a shape file I normally used the way over an excel file or a text file to get a table and to join this with an existing shape file. CC: "[email protected] shp") return TR. shapewrite(S,filename) writes the vector geographic features stored in shapefile S to the file specified by filename in shapefile format. A Simple Example for the Use of Shapefiles in R A simple example for drawing an occurrence-map (polygons with species' points) with the R-packages maptools and sp using shapefiles. Cartopy provides an interface for access to frequently used data such as the GSHHS dataset and from the NaturalEarthData website. The shapefile format can store data in the form of points, lines, or polygons. Load the Data. The example below shows a zonal statistics calculation on a set of multiple rasters using a 'for' loop and a polygon shapefile (zones). I also know that I can change the variables/parameters in my code, and understand algorithms, and how many records to expect as an output. This file format was developed by ESRI (a notable GIS Software Company). For the United States, many shapefiles are available from the Census Bureau. A tutorial to perform basic operations with spatial data in R, such as importing and exporting data (both vectorial and raster), plotting, analysing and making maps. Spotzi has a large Datashop with a lot of shapefiles (. Let's select 50 first rows of the input data and write those into a new Shapefile by first selecting the data using index slicing and then write the selection into a Shapefile with gpd. I would like to expand on this function. Not sure if rgdal with readOGR does what I want. R has a rich package ecosystem for read/writing, manipulating, and analyzing geospatial data. In this case, the function extracted values from 18,450 pixels. xls spreadsheet to shapefile conversion - posted in GIS: I have an excel spreadsheet I want to convert to an ESRI shapefile programmatically. The function takes two arguments, these are a file-path to the input feature class or table and a file-path for the output CSV file (see example down further). The readShapePoints reads data from a points shapefile into a SpatialPointsDataFrame object. This vignette is part of the documentation included in spatstatversion 1. It wraps C API codes developed by Frank Warmerdam - Shapelib. read() method. There are loads of spatial mapping/plotting packages in R. The shapefile I was dealing with was at a very granular level (which means that it had a lot of data, 2. Together with R-package diagram (Soetaert2009a) this package has been written to. I am two searches short of just making the dang thing myself (may be a lot less accurate then i need). 60931F20" This document is a Web archive file. The above example uses the highlightOptions parameter to emphasize the currently moused-over polygon. The fossil package implements a number of functions to assist in converting georeferenced datasets into formats useful for both graphing within R and exporting to GIS programs. The ‘Deletion Flag’ as set in the Shapefile standard will be passed over (the tuple in the if statement), and we want data from the lists that follow the tuple that define the field name, data type and field length. The current release, Microsoft R Open 3. cd <- st_read('congressional_districts. Download the ZIP file above for an example shapefile. Read points shape files into SpatialPointsDataFrame objects Description. The function requires two main input files: the shapefile (shp) that you want to convert and a raster that represents the background area (mask. xml (to instruct how to flag window and aggregate functions) Update the comments generation to handle the new geometry winset type arg Closes #3474 Mark ST_ClusterWithin and ST_ClusterIntersecting as taking geometry set (so flagged as aggregates) Closes #3476. Reply Delete. The first argument is the spatial object produced in R. crop or clip matrix shapefile. Select the region variable, which should be distinct for different rows. An alternative format that can also be used is the xBase format, which has an open specification, and is used in open source shapefile libraries, such as the Shapefile C library. R - codes / GIS functions R function to calculate CWD and AET This R function was created to quickly calculate climatic water deficit (CWD) and actual evapotranspiration (AET) using a modified Thornthwaite water balance model following the equations in Appendix S1 of Lutz et al. Functions to read and write ESRI shapefiles. shp) or columns of geographic coordinates from one coordinate reference system to another. A task that I routinely need to do is locate shapefiles on a website, grab those files, and read them in. Forget ggplot and gpcclib. QGIS Tutorials and Tips¶ Overview. 2 as per r9735 2012-05-16 08:29 robe * #1820 part. Getting external data into a spatstat format. By running clip_shp() function, we will return a shapefile of the intersections between the two input files 2. First of all we need to extract the polygon data from the Shapefile, and convert all the polygons to a format readable by Virtual Earth. shp in a specified directory. A shapefile is a file-based data format native to ArcView 3. Shapefile attribute format (. Dear all, When cropping a raster using a shapefile, through 'crop' function from "raster" package, only the extent is taken into account: > R-sig-geo Search everywhere only in this topic. edit follow up: I tried with readOGR thanks for the reply. External() functions but we’ll stick with the simplest version for this post. Writing a Shapefile¶ Writing a new Shapefile is also something that is needed frequently. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required. Also you should have an earth-analytics directory set up on your computer with a /data directory with it. The function readOGR can be used to imports shapfiles. Where possible, existing ground measurement stations are used to validate the data. exists("london_sport. DOWNLOAD — Census shapefile. This vignette is part of the documentation included in spatstatversion 1. The first argument is the spatial object produced in R. I'm going to present a small function that makes reading shapefiles in R very easy. Please see the link provided for information on how the Census Bureau creates ZCTAs, and for important information on the differences between ZCTAs and ZIP Codes. I am trying to plot contours over a map of US climate divisions. In this example, I extracted the Michigan points and plotted them on an outline of Michigan with colors coordinating to the year of the fire. In this case, the function extracted values from 18,450 pixels. Let's learn how to use Shapefiles in R. 1 Introduction. I would like to change the view of my map when upload a zipped shapefile. Our point data is in a comma-separated file with latitude and longitude values. We can save our firstPoints object as a shapefile using the raster package. ggplot() may run forever with the data frame fortified from the shapefile. To do this we need the following arguments: the name of the spatial object (plot. The general functions for reading and writing shapefiles are readShapeSpatial and writeSpatialShape, respectively. - Raster data of. Maps in R – Examples (Part 2) First a long string of information in specified in the first statement, then the spTransform () function does the actual conversion of latitudes and longitudes into x, y coordinates. How to read a shapefile : We will use the maptools package to read the shape file. Reproject a Polygon Shapefile using PyShp and PyProj. It has two required parameters dsn and layer. The object we receive ( sh. Hi, Can anyone help me with either of these: 1) Map of the UK counties that I could use in R? 2) How could I use an existing map for example, a map from here. dbf, which are added in the function IDvar a character string: the name of a column in the shapefile DBF containing the ID values of the shapes - the values will be converted to a character vector. As of now, the function downloads and unzips the shape file from the web. Load the Data To work with vector data in R, we can use the rgdal library. If you want to import a file from e. This MATLAB function reads the shapefile, filename, and returns an N-by-1 geographic data structure array in projected map coordinates (a mapstruct). Use ggplot to plot shp_df. The data are stored in shapefile format. The function lets. Look closely at > his naming of objects and your example code using spTransform. Additional information about interpretation is found in How Multi-Distance Spatial Cluster Analysis (Ripley's K-function) works. The function requires two main input files: the shapefile (shp) that you want to convert and a raster that represents the background area (mask. In particular we will discuss finding the domain of a function of several variables as well as level curves, level surfaces and traces. An alternative format that can also be used is the xBase format, which has an open specification, and is used in open source shapefile libraries, such as the Shapefile C library. Only the three vector types (points, lines, and polygons) can be stored in shapefiles. Aggregate the polygons using the maptools unionSpatialPolygon() function; Compute the areas of the new, larger polygons, display the areas along with map plots. I'm going to use the raster package, so we need to install it first:. Map and analyze raster data in R Posted on March 30, 2015 by [email protected] The "system. I am trying to import the shape file for the SA2 boundaries into the Tableau geographic role hierarchy using the Map > Geocoding > Import Custom Geocoding function but so far have failed to achieve the desired outcome, not least because the file is a shape file rather than the expected CSV as described in the help files. edit follow up: I tried with readOGR thanks for the reply. With his > approach, each object has its own name; whereas your approach overwrites > Rain_poly_merge the second and third time and the final object (third) is > the 2008 maize yield. 'rmapshaper' is an R interface for mapshaper library in JavaScript. Next, the gridlines () function creates a graticule in latitude and longitude, and the spTransform () function projects those. HERE is the example data. Each SQLite database is simply a file. Current community area boundaries in Chicago. The spplot function in the next command is in the sp R package, which should have been installed and loaded along with rgdal before. Creating a Subset Shapefile from an Existing Shapefile. It seems as if broom::tidy() is becoming the preferred method of converting shapefiles to dataframes. In these cases, it may be more appropriate to match values in a lookup table. This web page of examples has two parts. dbf, which are added in the function IDvar a character string: the name of a column in the shapefile DBF containing the ID values of the shapes - the values will be converted to a character vector. R - codes / GIS functions R function to calculate CWD and AET This R function was created to quickly calculate climatic water deficit (CWD) and actual evapotranspiration (AET) using a modified Thornthwaite water balance model following the equations in Appendix S1 of Lutz et al. Loading Multiple Shapefiles to the R-Console Simultaneously but this is one of the cases where a loop is as fast as a *apply() function. dbf() function from >> the foreign package seems to work a little better, but I still get odd >> results in numeric columns. if you want to slice vertically, this could be the area of the part of your polygon between the leftmost point and a vertical line at X. prj (the coordinate reference system). R is a widely used programming language and software environment for data science. There are two methods you can use. Along with the maptools package,… Read More ». And proj file specifies the projection standard it used which is critical when you’re dealing with data using different projections. 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. Export a Shapefile. shx extension, and the database file with a *. The function simply requires shape_url, a link to the location of the files, and layer, the name of the shapefile. SpatiaLite is an SQLite database engine with spatial functions added. Sample one or more rasters at point locations. DOWNLOAD — Census shapefile. a) Custom map shapefiles can be created by regular people like me :-) b) Power BI is a good tool to validate those shapefiles along with using additional data metrics based on your own data case scenario. dbf file contains the attributes of the feature. The readShapePoints reads data from a points shapefile into a SpatialPointsDataFrame object. You can read the technical documentation for choroplethr here. CreateFeature (outFeature) # dereference the features and get the next input feature outFeature = None inFeature = inLayer. Canopy height model with the crop shapefile overlayed. ) to a shapefile. CreateFeature (outFeature) # dereference the features and get the next input feature outFeature = None inFeature = inLayer. One of the workhorse functions for pulling in vector data is readOGR (). The object we receive ( sh. Regional smoothing in R involves the use of Roger Bivand’s Spatial Dependence package to create neighbors lists through the nb2listw() function, and using this list to compute the Gettis-Ord statistic/local G statistic/z-score. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. The function description has changed to: Rather than using this function, I now recommend using the broom package, which implements a much wider range of methods. And proj file specifies the projection standard it used which is critical when you’re dealing with data using different projections. The first general package to provide classes and methods for spatial data types that was developed for R is called sp 1. attributes fields GDAL manipulating OGR open source R read Shapefile write reading shape files in R If I would like to adjust a shape file I normally used the way over an excel file or a text file to get a table and to join this with an existing shape file. For example, the following workbook was created using the data from this link: Read and write ESRI Shapefiles with R | NCEAS Workbook: Shapefile Import. FOSS4G Barcelona 9. R and GIS – working with shapefiles The shapefile is now read and stored into an object called “states”. exists("london_sport. 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. The matrix itself is composed of values referring to the plot number, generally just 1,2,3etc. The following are code examples for showing how to use shapefile. Sign up Tools, shapefiles & data to work with an "AlbersUSA" composite projection in R. Next, I used the meshgrid and triscatteredInterp functions to interpolate the data on a grid. s is a location in R (the study area) s 1…s n are the locations of n events in R The intensity at a specific location is estimated by: Summed across all points s i within the radius ( ) i n i s s s k 1 2 1 Ö() kernel (which is a function of the distance and bandwidth) bandwidth (radius of the circle) distance between point s and s i. Now comes a function that takes as arguments the shapefile (. Also you should have an earth-analytics directory set up on your computer with a /data directory with it. The inputs to this function are a simple data frame of points (for points, polyLines, or polygons) and a data frame representing the dbf file. com or WhatsApp / Call at +91 74289 52788. Conda Files; Labels; Badges. What You Need. Distance Matrix Computation Description. Together with R-package diagram (Soetaert2009a) this package has been written to. The readShapePoints reads data from a points shapefile into a SpatialPointsDataFrame object. The shapefile function handles all this so you don't pass it a file object,. Now I can start the real computation. A point shapefile representing the location of the Fisher flux tower located at the NEON Harvard Forest field site. In this experiment I will show how to include multiple elements in interactive maps created using both plotGoogleMaps and leafletR. The function calls code from shapelib to write a polygon-type shapefile (both the geometry file with a *. open allows to import in R the shapefile from the Toolbox in ArcGIS. You can add custom buttons to the app header using the header_buttons block. Here, we read a shapefile corresponding to county boundaries for the state of Maryland. dbf extension - see write. They can be combined with open GIS data to create custom maps. When we import shapefiles into SQL Server with geographic data type, SQL Server expects polygons to be re-oriented to the left-hand rule and I’ve applied that function and it’s all good. > Hi, > > Sorry i have put such a detailed question to the list about writing a shapefile with projection. , points, lines, and polygons). I'm going to use the raster package, so we need to install it first:. The main reason behind this was due to the fact that I know how to code with Python, or R, or manipulate GDAL functions, and can form fairly succinct yet complex SQL statements. Also you should have an earth-analytics directory set up on your computer with a /data directory with it. After creating the item, define its attributes by right-clicking it in ArcCatalog and clicking Properties. The test script at the end of this post demonstrates how messages and errors can be generated within a function and then trapped and processed by a calling function, potentially generating new. The function requires two main input files: the shapefile (shp) that you want to convert and a raster that represents the background area (mask. The basic idea behind the R function layout is to divide the plotting device into a series of rows and columns specified by a matrix. Cartopy provides an interface for access to frequently used data such as the GSHHS dataset and from the NaturalEarthData website. The drivers supported will depend on the local installation, and the capabilities of those drivers (many are read-only). The file does not include population data, sometimes shapefiles include information like this. The intersect approach is a square/rectangular intersection and not an intersection of the actual polygons. HERE is the example data. The drivers supported will depend on the local installation, and the capabilities of those drivers (many are read-only). This python module supplies functions to read and write ESRI Shapefile. The writePointsShape function writes data from a SpatialPointsDataFrame object to a shapefile. This function reads an ESRI shapefile. R has a rich package ecosystem for read/writing, manipulating, and analyzing geospatial data. The Shapefile format is a popular Geographic Information System vector data format created by Esri. not in ESRI Shapefile that I’m you want to import into R by using ‘readOGR’ function. Perl extension for reading and writing shapefiles as defined by ESRI(r) Perl extension for reading and writing shapefiles as defined by ESRI(r) the function. The shapefile can then be read using the readOGR function from the rgdal package. Let's load packages first:. The current release, Microsoft R Open 3. I can consider another function that does a better job if there is one. Fast and Versatile Argument Checks Simplify the Creation of Choropleth Maps in R Contains Maps Used by the 'choroplethr' Package Shapefile, Metadata and Visualization Functions for US Zip Code Tabulated Areas (ZCTAs). Not sure if rgdal with readOGR does what I want. beta tester response form Question Title * 1) How useful do you believe the N-CAST shapefile is to you or your client's freight program?. This will allow us to map data for complicated areas or jurisdictions like zipcodes or school districts. The matrix itself is composed of values referring to the plot number, generally just 1,2,3etc. Building my first Shiny application with ggplot November 14, 2012 Noteworthy Bits data visualization , ggplot2 , hivetalkin , R , shiny cengel In trying to get a grip on the newly released Shiny library for R I simply rewrote the example from the tutorial to work with ggplot. This will allow us to map data for complicated areas or jurisdictions like zipcodes or school districts. The problem was that I only had a point shapefile, so I googled a way to transform a shapefile into a ppp object (which is the point pattern object used by spatstat ). Load the Data To work with vector data in R, we can use the rgdal library. org" < [email protected] fortify may be deprecated in the future. If file is a non-open connection, an attempt is made to open it and then close it after use. sh/Ry8rU/grid. Stick to maptools and rgdal that actually provide tools for reading a shapefile. You can also add individual items from image services and apply functions to them. ) to a shapefile. R/shapefiles. Read the shapefile into R (we name it shp). An example of a global function is the Euclidean distance function, distance, which computes the shortest distance between a pixel and a source (or destination) location. There are several different R spatial formats to choose from. Plotting shapefiles in R May 2, 2016 July 23, 2016 Richard Kapustynskyj Data , Learning R , Mapping , Uncategorized After my last post on the ONS data structure this post is the first of a few on using that structure and some other public data, mostly UK government data, and mapping it using R. External() functions but we’ll stick with the simplest version for this post. This file format was developed by ESRI (a notable GIS Software Company). Copy the postgisgui into the bin folder noted in the above dialog. Reply Delete. 9 MB, together with attribute table it goes up to 42. The advantages of shapefile include: (1) no need to map element definitions, (2) no geometry loss caused by semantics mismatch, and (3) no need to match LoDs. The first package to provide classes and methods for spatial data types in R is called sp 1. If you want to import a file from e. edit follow up: I tried with readOGR thanks for the reply. Re: Clip a shapefile I am bringing my shape files by connecting to the data. I am trying to plot contours over a map of US climate divisions. Reading shapefiles into R. R Parallel routine to caculate the distance matrix of the polygons of a shapefile, based on centroids - Shapefile2DistMatrix. Re: Masking using Shapefile. The shapefile can then be read using the readOGR function from the rgdal package. We name it shp_df. It seems as if broom::tidy() is becoming the preferred method of converting shapefiles to dataframes. Here's a screenshot of it loaded into QGIS as a PostGIS layer: I've used this technique to download datasets from the web such as weather data, and update a table on an automated basis as new data is available. shapefile layer name, when writing omitting the extensions *. cd <- st_read('congressional_districts. Image service layers—Raster functions can be applied to image services using the Raster Functions pane. Start by reading in the data. Together with R-package diagram (Soetaert2009a) this package has been written to. I want to find out which points lie inside the gray polygon representing the boundary of India. zip and it still doesn't read the projection. Conceptually, a shapefile is a feature class-it stores a collection of features that have the same geometry type (point, line, or polygon), the same attributes, and a common spatial extent. This parameter controls how FME reads these numeric types and influences how they will be written out at the end of a transformation. Load the Data. I’d recommend using OGR (the OGR2OGR function) to convert from shapefile to one of those three, then load that result into sql server. The function calls code from shapelib to write a polygon-type shapefile (both the geometry file with a *. ) to a shapefile. Many different CRS are used to describe geographic data. One of them has 5 polygons and the other one has 1, so I would like to obtain a final shapefile with 6 polygons. The special option "return_mask" is set to True, telling the function to return the 0/1 mask array, instead of returning the masked data itself. 2 as per r9735 2012-05-16 08:29 robe * #1820 part. Functions to read and write ESRI shapefiles. I have a shapefile named "ind_adm" and a SpatialPointsDataFrame called "pnts". For the United States, many shapefiles are available from the Census Bureau. The functions are different and it should be noted how. The CRS that is chosen depends on when the data was collected, the geographic extent of the data, the purpose of the data, etc. Using the write. > Hi, > > Sorry i have put such a detailed question to the list about writing a shapefile with projection. Edit the plugins. One of them has 5 polygons and the other one has 1, so I would like to obtain a final shapefile with 6 polygons. Note that if you save your data with save(), it cannot be restored under different name. Don't just say you've tried "this and that", outline the details. With his > approach, each object has its own name; whereas your approach overwrites > Rain_poly_merge the second and third time and the final object (third) is > the 2008 maize yield. These are simple wrapper functions around readOGR and writeOGR (rgdal package). Convert- Shapefile SHP to XLSX. Now, I would like to intersect the points with the polygon, meaning that all the values from the polygon should be attached to the table of the point. We are particularly interested in the geospatial metadata , describing the format, CRS , extent , and other components of the vector data, and the attributes which describe properties. An ESRI shapefile consists of a main file, an index file, and a dBASE table. While R has no shortage of built-in functionality to map values to colors, we found that there was enough friction in the process to warrant introducing some wrapper functions that do a lot of the work for you.