R Shapefile Function

To do this we need the following arguments: the name of the spatial object (plot. The directlabels package does that. It is the One Stop Source for environmental and natural resources data, at any time, from anywhere, to anyone. I am trying to input shapefile data(line and vertex), the R. However, this function only returns the actual matrix of presence absence and the grid, not an PresenceAbsence object. a unified interface is used to fit different models offered by different. Let's look at how to load/plot line and polygon data. [prev in list] [next in list] [prev in thread] [next in thread] List: r-sig-geo Subject: Re: [R-sig-Geo] merging several shapefiles into one From: Zia Ahmed Date: 2011-05-25 12:25:08 Message-ID: 4DDCF524. x – A matrix, data frame, or vector. Export a Shapefile. rda file formats). ESRI shapefiles. Working with shapefile data in R Posted on May 6, 2014 by Charles Preppernau | 1 Reply The goal of this project was to use R to run statistical operations on data from ESRI shapefiles, and see about getting the results of these operations back into a format that can be used in ArcGIS. COGO: Converting Decimal Degrees to Degrees Minutes and Seconds - and back again (PostGIS). R based Delaunay Triangulation Function for PostGIS using the deldir package. Convert- Shapefile SHP to XLSX. We can save our SpatialPolygons object as a shapefile using the raster package. Image Source: National Ecological Observatory Network (NEON). Development of the sp package began in the early 2000s in an attempt to standardize how spatial data would be treated in R and to allow for better interoperability between different analysis packages that use spatial data. a unified interface is used to fit different models offered by different. Many point shapefiles don’t contain the latitude and longitude data as columns in the attribute table but have their geometry encoded within the shapefile. The object we receive ( sh. CC: "[email protected] 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. The above example uses the highlightOptions parameter to emphasize the currently moused-over polygon. Convert shp to xlsx using ogr2ogr tool or with QGIS tool, in any system i. com or WhatsApp / Call at +91 74289 52788. The point's latitude and longitude are > known. ncl to return a mask array, and then apply this mask array to a variable with multiple time steps. Plotting maps from shapefiles with attributes using ggplot; by Huanfa Chen; Last updated over 2 years ago Hide Comments (-) Share Hide Toolbars. An integrated R interface to the decennial US Census and American Community Survey APIs and the US Census Bureau’s geographic boundary files. shape (eg poly2map, lines2map, points2map, and write. Finally, use the st_write() function from the sf package to write the dfJoin data frame out to a shapefile that can then be used with traditional GIS software. '#ffffff') or the svg format ('rgba(r,g,b,a)'). R has some very useful libraries for working with spatial data. argument is the driver used to generate the shapefile. To write out a shapefile from simple R data, you need to run convert. The value of the background raster should be set to a constant value that will represent the absence of the data in the shapefile (I typically use zero). 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. A shapefile is a file-based data format native to ArcView 3. Coordinates function doesn't work as soon as x and y are recognized as non-numeric. Older functions are still availables for this release but will be removed in the next release. To do this we need the following arguments: the name of the spatial object (plot. As you might already be aware, the map in SSRS supports the spatial data types and functions that are available in SQL Server. Creating and Editing Shapefiles in ArcMap 10 CREATING Creating a New Shapefile (Points, Polylines, and Polygons) 1. Browse the docs online or download a copy of your own. These interfaces allow the user to define the data programmatically, and if the data does not exist on disk, it will be retrieved from the appropriate source (normally by. After adding the population column to the shapefile, I’m going to use the colorRampPalette function to create HEX color coding in a new column called color. When R reads a point layer, it uses the points’ extent to define a rectangular window. magrittr: Simplifying R code with pipes R is a functional language, which means that your code often contains a lot of ( parentheses ). 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. It is also possible to use google map style backgrounds. This part describes some basic maps that make use of the sp class (a framework for managing data sets that have explicit spatial coordinates) and the maptools) packages, while the second part describes more advanced procedures like map projection. 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. Feature Layer Shapefile OpenStreetMap Layer Raster Function Service Raster Layer File Raster Layer (R. Thus is represents the overall geographic coverage of the spatial object. 1995-01-01. Let's learn how to use Shapefiles in R. Starting at v4. In any event I have found the R package, rgdal, indespensible for this. polygonsplot (you should read the full code of panel. 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. The "system. sql, regress/tickets_expected: ST_SnapToGrid: retain type on empty return (#1695) 2012-03-16 19:13 Sandro Santilli * [r9515] doc. As before, Natural Earth shapefiles are read and projected, this time using a Lambert Azimuthal Equal-Area projection, and trimmed to the appropriate region. map) to write shapefiles I must however admit that I don't know enough about shapefile formats and R programming to do this by myself and I would unfortunately be really out of my. R has some very useful libraries for working with spatial data. In the past, working with the tabular and spatial census data generally meant downloading a table from FactFinder and a shapefile from the boundary files site and joining the two, perhaps in a GIS system. 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. The value of the background raster should be set to a constant value that will represent the absence of the data in the shapefile (I typically use zero). R has advanced capabilities for managing spatial data; and it provides unparalleled opportunities for analyzing such data. intersecting landscape ecology, open science, and R. In order to follow along on your own computer you need to have ArcGIS installed and Python needs to be accessible on the command line. ST_Parallel for PostGIS. The fortify command converts the data slot of the shape file ([email protected]) to data. These are simple wrapper functions around readOGR and writeOGR (rgdal package). Shapefiles come in several types. when hovering over after enabling highlight options) are values that are contained in the dataset (i. This has multiple advantages, as objects of class sf accept tidyverse functions for data wrangling and are much faster to work with. Shapefile Metadata & Attributes. Spatial data in R: Using R as a GIS. This MATLAB function reads the shapefile, filename, and returns an N-by-1 geographic data structure array in projected map coordinates (a mapstruct). 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. 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. A vectorized function works not just on a single value, but on a whole vector of values at the same time. I was able to make most of the table using the code provided below. Older functions are still availables for this release but will be removed in the next release. The general functions for reading and writing shapefiles are readShapeSpatial and writeSpatialShape, respectively. readOGR() requires two components:. • The Vermont Lidar Program (vcgi. 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. This is really useful when combined with the shp2raster function as it means that we only need to convert the parts of the shapefile that we are actually interested in. Open-sourced a library that converts a Shapefile, GeoJSON, or CSV to an equal-area hexgrid cartogram. Download and read shapefile function in R. Basically, I imported the shapefile into R, quickly cleaned up (if necessary), and converted to GeoJSON file. 3070800 cornell ! edu [Download RAW message or body] [Attachment #2 (multipart/alternative)] I used following code to. That covers the gist of basic map-making in R. The match() function returns the matching positions of two vectors or, more specifically. Includes relay logic circuits that remain deenergized until out-of-tolerance condition on any data channel discovered. Development of the sp package began in the early 2000s in an attempt to standardize how spatial data would be treated in R and to allow for better interoperability between different analysis packages that use spatial data. to_file()-function:. Because it must contain at least one attribute column, ArcCatalog adds a default column to the shapefile when it is created. The goal of this post is to demonstrate the ability of R to classify multispectral imagery using RandomForests algorithms. polygonsplot to understand what is happening here). Specifically, the reilly( ) function from the package is used with the following input: the center point shapefile with an attribte variable indicating the center masses (size measures such as population, total GDP, etc. In this case, the function extracted values from 18,450 pixels. A fundamental geospatial operation is checking to see if a point is inside a polygon. Create a FeatureLayer and set the feature layer table property to the. Load the Data To work with vector data in R, we can use the rgdal library. Another problem is that such kind of shapefiles are too large to plot. Shapefiles are a simple, nontopological format for storing the geometric location and attributeinformation of geographic features. New Class Exploring and Visualizing Census Data with R. However, over the years many people have found GPS Visualizer to be useful with address-based data as well, so this page was created as a convenient way to bridge the gap between addresses and true coordinates. I looked around for some good tutorials on using shapefile data in R, and even so it took me a while to figure it out, longer than I would have thought. These maps are often distributed as shapefiles. ), a outline shapefile for the study area, and distance matrix. Using the ogrInfo() and readOGR functions from rgdal eliminates the necessity of selecting the appropriate function in maptools. The function lets. In any event I have found the R package, rgdal, indespensible for this. Insert meta stuff here. R users can use just one package (RQGIS) instead of using RSAGA and rgrass7 to access SAGA and GRASS functions. To import shapefiles you use the R function readOGR(). Symbolize a Shapefile Sample Viewer View Sample on GitHub. gdb\rivers, the output shapefile will be named rivers. Export a Shapefile. Download R-shapefiles packages for NetBSD, ROSA. Includes relay logic circuits that remain deenergized until out-of-tolerance condition on any data channel discovered. A shapefile often doesn't have any information that identifies which coordinate system was used to define its features. Maps in R – Examples (Part 1). R is always pointed at a directory on your computer. In this blog we will look at some of the libraries and demonstrate few basic functionalities. If you use an over-the-air antenna, you may need to rescan your TV whenever this happens. > > Can somebody please tell me how I can execute this in R? > > Many thanks!. To work with vector data in R, we can use the rgdal library. // Function to Open Shapefile and parse the info void OpenShapeFile(char * fileName) SBoundingBox is a structure defined to hold the bounding box of the shapefile. How it works. Shapefiles often confuse. different administrative levels) Merge multiple map layers into a single shapefile using Quantum GIS | StatSilk. Create a FeatureLayer and set the feature layer table property to the. The new R package sf, which replaces sp for handling spatial objects, is designed to play nicely with the Tidyverse. This file format was developed by ESRI (a notable GIS Software Company). For this recipe, we will only use the. This is especially useful if you need to work with maps that are not already packaged on CRAN. The first general package to provide classes and methods for spatial data types that was developed for R is called sp 1. How to calculate the polygon area using R? I have a lot of longitude and latitude information for several polygons. Next topic. We do both with a lambda function and the DataFrame. Import polygon data into R data objects; if desired, display them in a map context; Transform all polygon and point files to be used into the same coordinate system and map projection. In this toolbox I basically implemented the functions I showed in the previous post about time series analysis in R. com Or Email : [email protected] Spatial data in R: Using R as a GIS. The C code must have a return type of void. In order to follow along on your own computer you need to have ArcGIS installed and Python needs to be accessible on the command line. the name of an ESRI GridAscii file as a charac-ter string 3. The try() function is really just a simplified interface to tryCatch(). When we import a shapefile into R, the readOGR() function automatically stores metadata and attributes associated with the file. You can customize many features of your graphs (fonts, colors, axes, titles) through graphic options. It is a generic function, meaning, it has many methods which are called according to the type of object passed to plot(). Subsetting Shapefiles With R I have been trying to improve my GIS skills lately and have been trying to use R for as much of this process as I can. The shapefile data is now available in PostGIS for loading into a GIS as a layer or performing spatial functions in PostGIS. How to set up R / RStudio; Set up your working directory. Creating a choropleth map with R this function can be used to plot a spatial area using data from a shapefile, and we can tell this function to use a different. csv to shapefile using writeOGR. argument is the driver used to generate the shapefile. shp) on loaded onto the device. shx (the index that links the two, and. Batch Downloading Zipped Shapefiles with R Here's a function I use to download multiple zipped shapefiles from url and load them to the workspace:. Now comes a function that takes as arguments the shapefile (. That was when this blog by Sean Boon – SQL Server 2008 R2 Map Tips: How To Import Shapefiles Into SQL Server and Aggregate Spatial Data, caught my eye and I got the idea of importing my shapefile into DB and then doing the custom aggregations there itself for solving my performance problems. shp and export the species to individual Shapefiles. Household survey data are collected by governments, international organizations, and companies to prioritize policies and allocate billions of dollars. An example could be of great help. If you need the specific pixel values (-1. Similar to PostGIS , all functions and methods in sf that operate on spatial data are prefixed by st_ , which refers to spatial and temporal ; this makes them easily findable by command-line completion. The example below shows a zonal statistics calculation on a set of multiple rasters using a ‘for’ loop and a polygon shapefile (zones). It provides functions to visualize terrain data and add annotations such as contour lines. An ESRI shapefile can be turned into a graph by using the Polygon Neighbors tool in ArcMap and then using a programming language to turn that into an adjacency matrix results in a graph. Creating a Subset Shapefile from an Existing Shapefile This tip sheet covers how to create a smaller subset data set from a larger data set in ArcGIS. A tutorial on merging multiple layers into a single shapefile map using QGIS, and creating multi-layer interactive maps (e. This file format was developed by ESRI (a notable GIS Software Company). These files could also be handled in R but getting the data, reading it into R and, in particular, merging tabular and spatial data can be a. The help file for gplot is pretty self-explanatory, but Melissa Clarkson has produced the most thorough and impressive guide for any R function I’ve ever seen, to better illustrate some of the options. This creates a new object of class extent. polygonsplot (which is the function used by spplot when drawing polygons) does not assign a name to each polygon. It seems as if broom::tidy() is becoming the preferred method of converting shapefiles to dataframes. 9, PostGIS supports all the objects and functions specified in the OGC "Simple Features for SQL" specification. 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. ) to a shapefile. raster), with your desired extent and resolution. Instead, I mean mapping a custom geography such as voting districts, neighborhoods and so on. readOGR() requires two components:. 2 as per r9735 2012-05-16 08:29 robe * #1820 part. Cc: r-sig-geo at r-project. The functions are different and it should be noted how. Let's load packages first:. I am trying to write a code to convert x,y points from. How to use the sample. Plus, I wanted to see the progression of the drought. This function, and back-end helper functions, provide a generalized framework for plotting many kinds of spatial data. shapefile write. 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. September 4, 2019 thisearthsite Google Earth Engine Leave a comment. One of the workhorse functions for pulling in vector data is readOGR(). Next topic. This example loads and plots both polygon and point shapefiles, uses the rgdal library to change projections, uses the over function to join datasets, and provides a few visualization examples. Stacey has 7 jobs listed on their profile. The general functions for reading and writing shapefiles are readShapeSpatial and writeSpatialShape, respectively. Load the Data. It might not. Felzer Earthquake Catalog (TXT, 5. As a result you get a geospatial object (my_spdf here) that contains all the information we need for further mapping. My data come from ArcGIS, being in shape format. To install an R package, open an R session and type at the command line. In this example, we are restricting our analysis region to the State of Massachusetts. Maps in R – Examples (Part 1). A shapefile often doesn't have any information that identifies which coordinate system was used to define its features. The general functions for reading and writing shapefiles are readShapeSpatial and writeSpatialShape, respectively. One of the more common ways that I read vector data into R is via shapefiles. packages("") R will download the package from CRAN, so you'll need to be connected to the internet. This service provides access to cadastral and topographic information, satellite data and aerial photography for New South Wales. About Quick-R. 2018-11-22 03:11 Regina Obe * [r17045] Prepping for EOL release. How do I join the data to plot the shapefile in ggplot where states are colored by a variable in my data? The guides I've found seem to use deprecated (or soon to be deprecated) functions. shp), a data frame/data table, the three column names we need lat/long coordinates and the record ID, and lastly the datum for the GBIF records. The data consists of the location of trees with various attributes generated by the Fingal County Council in Ireland. Placing the package before the function ensures the correct function is used. The Arizona State Legislature is a bicameral body with 30 members in the Senate and 60 members in the House of Representatives. Reading and writing of "ESRI shapefile" format spatial data. I was thinking of converting to a shapefile. Let’s create a new function (panel. Rでgpclibのobjectから結合後のポリゴンデータを抽出することは可能でしたので、shapefilesライブラリと組み合わせて県境のシェープファイルをRで作ることは可能かと思いますが、肝心のshapefile内にゴミ(というより想定されていないデータ)があるらしく、gpclib. dbf) cannot be opened. Shapefiles are a popular method of representing geospatial vector data in GIS software. How to read a shapefile : We will use the maptools package to read the shape file. An exercise set typically contains about 10 exercises, progressing from easy to somewhat more difficult. And we do have several possibilities to import shapefiles to R. Several layers can be combined using the +. Plus, I wanted to see the progression of the drought. R is always pointed at a directory on your computer. readShapePoly function is used to read a shapefile. I created a density plot using ggplot's stat_density_2d and I am trying to overlay this on top of a map which is a shapefile read and loaded to function in ggplot. It seems as if broom::tidy() is becoming the preferred method of converting shapefiles to dataframes. Import Shapefile in Postgresql. frame object to be used for mapping purposes. For GIS data that is currently stored in a shapefile, geodatabase, layer, or table, you will use the arc. Learn how to map geographic data, leverage spatial files, map custom territories and more in this Tableau mapping tutorial. The shapefile format can store data in the form of points, lines, or polygons. To install this R package, run this command at your R prompt: install. 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. Recommended Packages. Migrating data and analyses from Distance for Windows to R environment. Spatio-Temporal Point Pattern Analysis in ArcGIS with R This post would probably be the last in my series about merging R and ArcGIS. This will be the only output parameter, and I collect it into the object out_shape. Dear R colleagues, Does anyone know if it's possible to create a vector with coordinate values extracted from a shape loaded with readShapePoly. The addPolyline function is called twice in the script: once within the loop, which we would expect, and once at the end to make sure the final polyline is added to the shapefile. I need to plot them on a graph using R so that they all overlap with each other. readOGR() has two important arguments: dsn and layer. upload shapefile to feature collection. This function, and back-end helper functions, provide a generalized framework for plotting many kinds of spatial data. Load the Data. When we import the HarClip_UTMZ18 shapefile layer into R (as our aoiBoundary_HARV object), the readOGR() function automatically stores information about the data. One particular useful function in the DATRAS package is the subset() function. If you need the specific pixel values (-1. The shapefile function handles all this so you don't pass it a file object,. shapefiles_20. polygonNames) adding a small change in panel. Many different CRS are used to describe geographic data. In this case, the Shape column's Spatial Reference property will be Unknown or Assumed Geographic. shp" extension, and the function will reconstruct the names of the database (dbf) file and the index (shx) file from these. The file does not include population data, sometimes shapefiles include information like this. With the cleaned shp file the problem does not occur. Reading Shapefile ZIPs from a URL in Python 3. A breakdown of formats and intended use are listed below. dbf (the attributes),. Geocomputation with R. Next, we'll use our new shapefile to remove sea areas from the municipality dataset we created in the last blog post: Open both shapefiles in QGIS. For instance to demonstrate import shapefile in postgresql, I have downloaded United state administrative boundary shape file. To install this R package, run this command at your R prompt: install. Um shapefile é um formato de armazenaento de dados de vetor da Esri para armazenar a posição, forma e atributos de feições geográficas. py - clip a geospatial image using a shapefile import operator from osgeo import gdal, gdalnumeric, ogr, osr import Image, ImageDraw # Raster image to clip raster = "SatImage. Let’s build some data to play. ↩ Per the ESRI specification a shapefile must have an attribute table, so when we read it into R with the readOGR command from the sp package it automatically becomes a Spatial*Dataframe and the attribute table becomes the dataframe. Lets start with reading a shapefile. bat (if NULL, the function # will attempt to determine the location) # readpoly: should the polygon shapefile be read back into R, and returned by # this function? (logical). In this video I'll show how to create, edit and export a line shapefile with the help of a OSM basemap. ) to a shapefile. In this case a SpatialPolygonsDataFrame. x – A matrix, data frame, or vector. R/shapefiles. I've used the online OGR2OGR converter to go to GeoJSON with good results, and they offer a reverse process through the site as well. ZIP Code Tabulation Areas (ZCTAs) are generalized areal representations of United States Postal Service (USPS) ZIP Code service areas. Working with the Raster Calculator The Raster Calculator provides you a powerful tool for performing multiple tasks. Appendix K (PDF, 210 KB), The UCERF3 Earthquake Catalog, By K. 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. For this recipe, we will only use the. An exercise set typically contains about 10 exercises, progressing from easy to somewhat more difficult. Let’s group individual fishes in DAMSELFISH_distribution. shapefile_folder. A utils object provides access to a set of utility functions to perform a variety of tasks on other objects such as grids, images, points, shapes, shapefiles, tins, etc. the name of an ESRI GridAscii file as a charac-ter string 3. Each district is served by one Senator and two House members. intersecting landscape ecology, open science, and R. Using function. The data layers are available from the USGS as ESRI shapefiles, a commonly used file format for storing vector geospatial data. This is really useful when combined with the shp2raster function as it means that we only need to convert the parts of the shapefile that we are actually interested in. Some local broadcast frequencies are changing. The "intersect" function uses the overlapping extents whereas, "gIntersection" is the explicit intersection of the vector geometries. Mapping in R just got a whole lot easier Simple features make merging data with geospatial objects a lot less complicated. 1 and below has, but also has real functions as described above for more exact calculations. R defines the following functions: dp change. For those on a budget, Esri offers a personal use license for $100 per yea r or you can download QGIS, an open source GIS software for free. Using the link to the file on the website, you can download the file to your current directory using the download. This will allow us to map data for complicated areas or jurisdictions like zipcodes or school districts. Creating and Editing Shapefiles in ArcMap 10 CREATING Creating a New Shapefile (Points, Polylines, and Polygons) 1. The value of the background raster should be set to a constant value that will represent the absence of the data in the shapefile (I typically use zero). When we import the HarClip_UTMZ18 shapefile layer into R (as our aoiBoundary_HARV object), the readOGR() function automatically stores information about the data. I was able to make most of the table using the code provided below. These are simple wrapper functions around readOGR and writeOGR (rgdal package). With the next code snippet, we import the shapefile using the readOGR-function of the rgdal package. R/shapefiles. Also you should have an earth-analytics directory set up on your computer with a /data directory with it. Writing a shapefile. Before reading each file, determine what kind it is (e. As of version 0. The raster package also allows us to explore metadata using similar commands for both raster and vector files. 3070800 cornell ! edu [Download RAW message or body] [Attachment #2 (multipart/alternative)] I used following code to. This opens the file for reading by R's general reading and writing routines. A data function that converts an imported shapefile from one coordinate reference system to another, using EPSG codes to specify the reference systems. 2 as per r9735 2012-05-16 08:29 robe * #1820 part. The extract function returns a list of values as default. When we import the HarClip_UTMZ18 shapefile layer into R (as our aoiBoundary_HARV object), the readOGR() function automatically stores information about the data. For instance to demonstrate import shapefile in postgresql, I have downloaded United state administrative boundary shape file. I know that in plot function, I can…. In this section, we will discuss on the persp() function which can be used to create 3D surfaces in perspective view. GRASS GIS is a free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization. These SHP file viewers are used to view GIS shapefiles, which normally contain maps of countries, states, etc. Getting started with R Language, Variables, Arithmetic Operators, Matrices, Formula, Reading and writing strings, String manipulation with stringi package, Classes, Lists, Hashmaps, Creating vectors, Date and Time, The Date class, Date-time classes (POSIXct and POSIXlt) and data. World Oceans Shapefile - posted in GIS: Does anyone know where I can get ahold of a World Oceans Shapefile. Use ggplot2 to plot polygons contained in a shapefile. com Or Email : [email protected] packages("") R will download the package from CRAN, so you'll need to be connected to the internet. One of the workhorse functions for pulling in vector data is readOGR(). Development of the sp package began in the early 2000s in an attempt to standardize how spatial data would be treated in R and to allow for better interoperability between different analysis packages that use spatial data. How do I join the data to plot the shapefile in ggplot where states are colored by a variable in my data? The guides I've found seem to use deprecated (or soon to be deprecated) functions. The function requires two main input files: the shapefile (shp) that you want to convert and a raster that represents the background area (mask. Selecting a Portion of Shapefile. Mapping Toolbox supports the visualization and analysis of 3D data, such as digital terrain, bathymetry, and other gridded-data products. The intersect approach is a square/rectangular intersection and not an intersection of the actual polygons. Hi, Sorry i have put such a detailed question to the list about writing a shapefile with projection.