Shapefile To Raster In R

readOGR() requires two components:. 1 Introduction. shp') Adding Spatial *object to raster We will add the lake, rivers and administrative boundaries Spatial plotting in R. Sazid Ibna Zaman Data Manager & GIS Specialist MEEM Project MORU & NMCP 2. It mainly brings bugfixes, but it also includes an important new function, the module r. shp(, format="list"). shp and also as a composite (merged) shapefile of all overlapping bounds. Any shapefile, coverage, or geodatabase feature class containing point or multipoint features can be converted to a raster dataset. It is recommended to preserve the original raster datasets wherever possible, so the Mosaic tool and the Mosaic To New Raster tool with an empty raster dataset as the target dataset are the best choices to merge raster datasets. com · 15 Comments The amount of spatial analysis functionality in R has increased dramatically since the first release of R. In some cases, users want to clip out the portions of a raster that fall inside a dataset containing polygon features, and keep only the areas around the polygons. If a Shapefile is broken w. These are simple wrapper functions around readOGR and writeOGR (rgdal package). Optimized for use in web mapping applications , such as Google or Yahoo, with built-in scale attributes to direct features to be shown at different zoom levels. Software developers use these documents to build open interfaces and encodings into their products and services. This activity will walk you through the fundamental principles of working with raster data in R. On Thu, Jan 21, 2016 at 8:40 PM, David Winsemius <[hidden email]> wrote:. In raster: Geographic Data Analysis and Modeling. Lines to Polygon to Raster in R & QGIS I want to provide details the process of converting a line shapefile to a polygon using both R and QGIS. If a field cannot represent the interpolated value at full precision, the closest approximation will be stored and a warning will be issued. A rasterbrick, from the raster package you loaded, is the R equivalent of a multiband raster. I was hoping converting it to a shapefile would somehow reduce it in size. The rgdal package is normally installed with your installation of raster. # x: an R Raster layer, or the file path to a raster file recognised by GDAL # outshape: the path to the output shapefile (if NULL, a temporary file will # be created) # pypath: the path to gdal_polygonize. ndwi = my raster data pivos = my shapefile----In R it works perfectly and returns an interactive map containing my raster data plus myshapefile, however, in pwrbi nothing happen Anyone knows what could be happening? Or, anyone could suggest another way to plot raster + shapefile interactive maps in power BI using R? Thanks very much, best. Scholars GeoPortal is a geospatial discovery tool that provides access to large scale geospatial datasets that can be used for mapping or analysis. It was later revised in 1997 in an effort to better estimate the values of the various parameters in the USLE [2]. A function can be used to select a subset of the raster cells (by their values). How To: Clip or extract the area of a raster image using polygon features Summary. I recommend downloading the shapefiles to your hard drive and then load them into R. How to make a raster (from a shapefile) with cells with forest cover percent. Multipoints are treated as individual points. Intro to spatial data in R - Open and plot raster and vector. Raster Function Service Sample Viewer View Sample on GitHub. Describe the differences between opening point, line and polygon shapefiles in R. If a Shapefile is broken w. R has the ability through the maps package and the base graphics to generate maps, but such "out-of-the-box" maps, like other base graphics-generated illustrations, these may not be suitable for immediate publication. How I use shapefiles in R with ggplot2 and RGDAL. Need a rule to ensure consistency but don't know how to go about it. Extract raster information using a polygon boundary. A GIS shapefile is a file format used for storing geographic information data in GIS computer programs and databases, such as ArcGIS and ArcCatalog. Currently R runs on 32- and 64-bit operating systems, and most 64-bit OSes (including Linux, Solaris, Windows and macOS) can run either 32- or 64-bit builds of R. The two primary types of spatial data are vector and raster data in GIS. What I wanted to do is: I have shapefile (i. (If you do not. , LiDAR elevation, landcover) data sets. The function requires two main input files: the shapefile (shp) that you want to convert and a raster that represents the background area (mask. Writing to a raster file format might be more desirable. By now we have installed the both QGIS, R and the basic R packages needed for spatial data analysis. The first line creates a list of all the raster file in the working directory, then with the second line I can read them in R using the package raster. So the outside line is the edge of the bay and there are islands within it; all are closed areas. Read and write ESRI Shapefiles with R Submitted by Anonymous (not verified) on 18 June 2010 - 4:17pm The ESRI Shapefile is a widely used file format for storing vector-based geopatial data (i. Read a shapefile into R. (Note that you are pointing R at a folder with the raster components – raster, unlike rgdal, is smart enough to figure out what you’re asking!) Use the extract command to estimate the population of each Pakistani district. A function can be used to select a subset of the raster cells (by their values). An ESRI shapefile consists of a main file, an index file, and a dBASE table. I want to know the value of a raster at specific points using the Point on RasterValueExtractor. The shapefile (or ESRI shapefile) format is a geospatial vector format, and is one of the most commonly used map formats. The reader should also refer to the help on put. One common task in raster processing is to clip raster files based on a Polygon. The main difference is that they are normally provided in separated shapefiles, rather than in one unique shapefile containing all the species. Importing Shapefiles with "sf" R package. I calculated the sum of all values of the extracted R polygon (list) I calculated the sum of all raster cells that I cut out in ArcGIS; The 2 have the exact same result so I guess the conclusion should be that the extract function did work correct. R-Sig-Geo is a more appropriate mailing list for questions on the raster, rgdal and sp packages, and please read the posting guide. They define aquifer properties and boundaries, as well as the connection of aquifers to the land surface and to surface water resources. NOTE: When you name your output raster dataset, specify. how to Convert shapefile to Raster in ArcGIS. Ask Question Asked 7 years, 10 months ago. S — Vector geographic features N-by-1 geographic data structure array. Large projects create netCDF files using the low-level Unidata library routines. #The layer below is a mule deer HSI raster layer without disturbance created based on data from Sawyer et al. package raster to define a. Only the three vector types (points, lines, and polygons) can be stored in shapefiles. If a field cannot represent the interpolated value at full precision, the closest approximation will be stored and a warning will be issued. Multipoints are treated as individual points. Converting between raster and vector formats allows you to make use of both raster and vector data when solving a GIS problem, as well as using the various analysis methods unique to these two forms of geographic data. To work with vector data in R, we can use the sf package. An attribute called symbol is used to rasterize it as it is a unique attribute for every geologic formation. R is an great tool for geospatial data analysis. Map and analyze raster data in R Posted on March 30, 2015 by [email protected] raster object to a rasterBrick object. Shapefile Structure. This may make it hard to distinguish between input rasters if the names are long or very similar. If you will be using the raster package (highly recommended!), you don't need to worry about explicitly reading raster files into R: the raster package defines raster objects (single-layer raster, multiple-layer (band) stack or brick objects) that can be on disk or in memory. When adding the attributes from the input raster, if the output point feature dataset is a shapefile, there can be no fields in the input raster with a name more than 10 characters in length. Map and analyze raster data in R Posted on March 30, 2015 by [email protected] To import shapefiles you use the R function readOGR(). Figure 17: Drainage lines in the Inambari and Alto Madre de Dios watersheds I also converted the catchments raster to polygons with the Raster to Polygon tool. The output shapefile is simply called extract. A shapefile will come in the form of a group of several similarly named files with different extensions. com · 15 Comments The amount of spatial analysis functionality in R has increased dramatically since the first release of R. Areas included in y but outside the extent of x are ignored (see extend if you want a larger area). I have raster images and I want to get the boundary of these rasters as a Polygone. There is a number of ways to convert ArcGIS grid files and shapefiles into IDRISI raster and vector file formats. Open a shapefile in R. In Quantum GIS, start a new project and add the Shapefile polygon layers that you wish to include in your final map. The two primary types of spatial data are vector and raster data in GIS. Merge the raster with mask. Resources are available for professionals, educators, and students. Geographic Names Information System, Nuclear Facilities, Zip Code Boundaries, School Districts, Indian & Federal Lands, Climate Change, Tornadoes, Dams - Create digital GIS maps in minutes. If there are, these fields must be renamed before running the tool. I converted the raster into polygons pol <- rasterToPolygons. A point shapefile representing the location of field sites located at the San Joachin field site. Learning Objectives After completing this activity, you will be able to: * Describe what a raster dataset is and its fundamental attributes. raster, so that the background values are equal to the value of mask. py or OSGeo4W. I'm familiar with geoprocessing using GDAL (in the command line) and R, so solutions using either of those two are preferred. Namib Sand Sea Data Satellite imagery, dune maps, elevation, and vegetation index in shapefile, ERDAS IMG, or ASCII format, depending on file. How to make a raster (from a shapefile) with cells with forest cover percent. Introduction to Geospatial Raster and Vector Data with R. Converts point features to a raster dataset. rasterToPoints: Raster to points conversion in raster: Geographic Data Analysis and Modeling rdrr. Mapping in R just got a whole lot easier Simple features make merging data with geospatial objects a lot less complicated. After adding the layers you wish to clip, decide which polygon shape you want to clip your data to. The result from this process was a single color image, not a range in values. Select the ne_10m_admin_0_countries. com · 4 Comments In a popular previous post on raster processing in R we demonstrated how to reclassify, clip and map raster data using sample data from the GIS software QGIS as the example. file ( "external/species. The Merge shapefiles to one tool merges (that is, combines) multiple input shapefiles into a new shapefile. To show the results we used a simple barplot. -r bilinear is telling the program what resampling interpolation method to use. polygons) of 574 species. These shapefiles will normally include some geographic attribute data such as names and id codes, but are mostly data-less. You can also set a raster MASK with r. py or OSGeo4W. I want to use an Arcview format shapefile as a mask, to a huge number of raster images, which are in a polar stereographic grid format with separate image data files and lat/lon files. r = NULL, # Target raster, e. Reading and writing WKT. Currently, this is the only extraction tool that support multidimensional raster. After you have successfully converted the buffer shapefile into raster, you will want to reclassify the raster with the r. Data Tip - Object names. Export as a tiff file in the working directory with the label specified in the function call. You can also use cell numbers to extract values. Choose the type of layer (point, line or polygon) and the CRS (coordinate reference system). The two primary types of spatial data are vector and raster data in GIS. A number of the r. In doing so, we will also learn to convert x,y locations in tabluar format (. * modules only like to work on integers, so to preserve sub-meter fidelity we do a little trick where we multiply by a large number, do the process. KELSO and Tom Patterson. A shape file is a file based format for storing spatial data. e either “Point”, “Line” or “Polygon”?. Now that we've previewed the metadata for our GeoTIFF, let's import this raster dataset into R and explore its metadata more closely. Whenever I work with spatial data, I like to plot the data on a map. This includes the decimal and negative signs, if present, as well as the numbers 0 through 9. O) Evaluate. You should get a raster output like the one below: Final Styled output raster of R Style your output raster. The following example shows how to clip a large raster based on a bounding box around Helsinki Region. a DEM), 2) a rasterStack, a set of individual co-registered (i. rasterToPoints: Raster to points conversion in raster: Geographic Data Analysis and Modeling rdrr. Sign in Sign up Instantly share code, notes, and. Open a Raster in R. Migrating data and analyses from Distance for Windows to R environment. Purpose This developer sample shows how to convert a shapefile into a GRID raster. shp: the file that contains the geometry for all features. For many use cases, it is good enough. Processed data in raster and vector format are released here for the swath bathymetry, sidescan sonar, and seismic-reflection profiles. A geodatabase is a relational database. gis - How to transfer polyline shapefile into raster data using Python; Raster package in R does not rasterize a shapefile; arcmap - Putting raster file with big extention in shapefile; data conversion - R: Text xyz to multiple raster; crop - Clipping raster using shapefile in R, but keeping the geometry of the shapefile. The simplest way is to draw a polygon shape and convert it; however, you could use any polygon shapefile for this. io Find an R package R language docs Run R in your browser R Notebooks. 7Mb application/zip) Selected geology and sand model maps as PDF files, created at a scale of 1:100,000 for easier viewing (19. Finally, you will finish the process of bringing in your ArcGIS raster data to R by converting your arc. Anybody have code etc?. If you call the cellStats function with multi-band rasters it will return a vector of values (one for each band). The shapefile (or ESRI shapefile) format is a geospatial vector format, and is one of the most commonly used map formats. 3D-DOCTOR is an advanced 3D modeling, image processing, and measurement software for MRI, CT, PET, microscopy, scientific, and industrial 3D imaging applications. Chapter 1 Introduction to spatial data in R. 7Mb application/zip) Selected geology and sand model maps as PDF files, created at a scale of 1:100,000 for easier viewing (19. The raster package will read many different raster file formats such as geoTiff, Imagine and HDF5 just to name a few. Reclassify & Convert Raster to Shapefile or Vector using QGIS. Usage tips. The raster package also allows us to explore metadata using similar commands for both raster and vector files. Lesson: Raster to Vector Conversion¶. The first parameter shapefile name must go without the shp extension. calculate r factor in qgis raster calculator. The R raster package can use a shapefile to select pixels in a raster. And, I used empirical equation to calculate R factor I used precipitation data from 1961 to 1990 offered by USDA and NRCS. 1 Introduction. The rgdal package is normally installed with your installation of raster. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The sf package, created by Edzer Pebesma and colleagues, has dramatically simplified reading vector spatial data into R. I’ll also read in a few polygon files – one is the Vermont border, the other contains county boundaries that will be semi-transparent and will offer some local reference. In R such analyses can be based on either shapefiles or raster objects. Today I needed to convert a raster to a polygon shapefile for further processing and plotting in R. Introduction to Geospatial Raster and Vector Data with R. These tutorials — which build off Claudia Engel's excellent GIS in R tutorials — are designed for users with some familiarity …. raster - r read NetCDF and export as shapefile I need to read a NetCDF file with R and export each time step as a smoothed polygon shapefile. We can use the raster() function to open a raster in R. Points that are already on a stream cell are not moved and their “dist_moved” field is assigned a value 0. The raster package also allows us to explore metadata using similar commands for both raster and vector files. If necessary, the coordinates for any cell can be computed. For both packages you need to provide dsn - the data source, which in the case of a shapefile is the directory, and layer - which is the shapefile name, minus extension:. If desired, plot the new raster using map=TRUE. To narrow your search area: type in an address or place name, enter coordinates or click the map to define your search area (for advanced map tools, view the help documentation), and/or choose a date range. prj (the coordinate reference system). csv to a Shapefile in R; Manipulate Raster Data in R; Raster Time Series Data in R; Create. RForge strives to provide a colaborative environment for R package developers. Set the value of the cells of the raster that represent the polygon to the desired value. The dialog box allows you to export a raster dataset or a portion of a raster dataset. In this tutorial I will use shapefiles to plot spatial data. This file is a raster where the value of each cell is an estimate of the number of people living in that area. 2 and above, you can use the "Table to Excel" tool to convert a shapefile table to Excel spreadsheet & export field aliases / subtypes. Learning Objectives. Areas included in y but outside the extent of x are ignored (see extend if you want a larger area). raster {graphics} R Documentation: Plotting Raster Images Description. How to make a raster (from a shapefile) with cells with forest cover percent. ndwi is my raster data pivos is my shapefile. shp: the file that contains the geometry for all features. (7 replies) Hi everybody! I'm a new user, sorry for any kind of errors in posting :-). The result from this process was a single color image, not a range in values. gif for GIF,. Demonstration of how to read and write ESRI Shapefiles in R, including points, lines, and polygons. Merge the raster with mask. The raster package is not only a great tool for raster processing and calculation but also very useful for data acquisition. shp) that is un-projected. Raster grids in ArcGIS need to use integer or floating-point values for the "Value" attribute in the raster attribute table. ArcGIS Spatial Analyst: Advanced GIS Spatial Analysis Using Raster and Vector Data J-8747 December 2001 4 Visualize the data with advanced symbology and annotation options. The R maps package provides a means of mapping data that are not necessarily components of a shapefile. An ESRI shapefile consists of a main file, an index file, and a dBASE table. com · 5 Comments R has become a go-to tool for spatial analysis in many settings. My best guess would be that the Spatial* objects you are attempting to plot on top of the raster fall outside of the region being plotted. Cultural, physical and raster category data can be downloaded from each scale. Importing Shapefiles with "sf" R package. Optimized for use in web mapping applications , such as Google or Yahoo, with built-in scale attributes to direct features to be shown at different zoom levels. Shapefile Technical Description Computer programs can be created to read or write shapefiles using the technical specification in this section. This sample demonstrates how to create an image service raster and apply a hillshade raster function to it. Naturally, spatial. How to make a raster (from a shapefile) with cells with forest cover percent. When we import a shapefile into R, the readOGR() function automatically stores metadata and attributes associated with the file. Reclassify & Convert Raster to Shapefile or Vector using QGIS. Matthew Ingram 9,621 views. - Clipping raster using shapefile in R, but keeping the geometry of the shapefile 在R中,从多个光栅文件创建最大光栅 - In R create maximum raster from mulitple raster files 有没有一个库可以做光栅到矢量转换,为iPhone? - Is there a library that can do raster to vector conversion, for the iPhone?. This miniature vignette shows how to clip spatial data based on different spatial objects in R and a 'bounding box'. Vector data is not made up of a grid of pixels. nc") ALshp<-readShapePoly("ALzipcodes. We use rgdal to read raster data (it supports different common formats), and raster package to handle the raster data. BirdLife species distribution data can be slightly different from the ones provided by IUCN. Lesson: Raster to Vector Conversion¶. Any feature class (geodatabase, shapefile, or coverage) containing point or multipoint features can be converted to a raster dataset. Data collected during the 2014 cruise include swath bathymetry, sidescan sonar, chirp and boomer seismic-reflection profiles, acoustic Doppler current profiler, and sample and bottom photograph data. Large raster layers in combination with large (or large numbers of) shapefiles can slow processing time considerably by repeatedly computing the raster cell indices from the shapefile for raster data extraction. The dBASE file must contain at least one field. calculate r factor in qgis raster calculator. io Find an R package R language docs Run R in your browser R Notebooks. 1 Introduction. This format was developed by Environmental Systems Research Institure (ESRI), world's largest GIS (Geographic Information Systems) software developer. file ( "external/species. Intro to Raster Data in R; Plot Raster Data in R; Reproject Raster Data in R; Raster Calculations in R; Work With Multi-Band Rasters in R; Open and Plot Shapefiles in R; Explore and Plot by Shapefile Attributes; Plot Multiple Shapefiles in R; Handling Spatial Projection & CRS in R. The first is our AOI or area of interest boundary polygon that we worked with in Open and Plot Shapefiles in R. For raster features, use the Centroid tool instead. If desired, plot the new raster using map=TRUE. Introduction to Geospatial Raster and Vector Data with R. Thanks, Mauro. well as many statistical and data analysis packages that can be used for remote sensing image analysis. A progress meter will open, then close after the shapefiles have been created. Overplotting raster plots with points, lines, and polygons should work just fine, as the following example shows. ) to a shapefile. Let's load the country polygons shapefile we downloaded from Natural Earth. shx (the index that links the two, and. Converts point features to a raster dataset. An R package, readdst is under development for reading Distance for Windows project files into R for subsequent. rgdal - R interface to gdal (Geospatial Data Abstraction Library) for reading and writing spatial data. Now that we’ve previewed the metadata for our GeoTIFF, let’s import this raster dataset into R and explore its metadata more closely. 5 ( 4 votes ). In addition to the many. The Shapefile writer creates and writes feature data to shapefiles in the folder specified in the writer dataset. Its in Data Management Tools -> Raster -> Raster Processing -> Clip In here, you can tell it to clip to an irregularly shaped polygon. polygons) of 574 species. I want to calculate the area for every polygon. GetField (i)) # add the feature to the shapefile outLayer. a DEM), 2) a rasterStack, a set of individual co-registered (i. This file stores the attributes for each shape; it uses the dBase IV format. See Also: Centroid, Medoid. Map and analyze raster data in R Posted on March 30, 2015 by [email protected] I found a line shapefile of the everglades, and wanted to eventually have a raster where all cells within the national park (raster) are given a value of 1 like this:. Merge the raster with mask. What’s the difference between raster and vector? It’s a common question asked by newbie designers, webmasters, marketers, and others who create and print artwork. The first shapefile that you will open contains the point locations where trees have been measured at the study site. ESRI ArcEdit 8. How To: Clip or extract the area of a raster image using polygon features Summary. Raster Basics 3 – Area Calculations. This document assumes that you are already familiar with setting up MapServer Mapfile, but does explain the raster specific aspects of mapfiles. The next step is to read into R the maps we want to display in our web map. Any feature class (geodatabase, shapefile, or coverage) containing polygon features can be converted to a raster dataset. Learn more about how the Point To Raster tool works. #The layer below is a mule deer HSI raster layer without disturbance created based on data from Sawyer et al. Select the ne_10m_admin_0_countries. We will import three shapefiles. dBASE files do not support type blob, guid, global ID, coordinate ID, or raster field types. OSM files, Garmin GPS Database GDB files. shp is the main file and contains feature geometry. Lines to Polygon to Raster in R & QGIS I want to provide details the process of converting a line shapefile to a polygon using both R and QGIS. I can't remember the last time I merged two or more shapefiles but after googling around it is a very common use case. Resources are available for professionals, educators, and students. CreateFeature (outFeature) # dereference the features and get the next input feature outFeature = None inFeature = inLayer. Use Case 1. BirdLife species distribution data can be slightly different from the ones provided by IUCN. After obtaining an map with integer values, I then converted to a shapefile by navigating to Catalog > Conversion Tools > From Raster to Polygon. I couldnt finish my. A spatial tiling index designed for storage of file-based image and other raster (i. How to convert NetCDF file to shp file? we can use the "Multidimension Tools" to make NetCDF file to a raster layer. Raster datasets can also be loaded into a raster catalog using the Workspace To Raster Catalog tool. Would Create Spatial Reference be what you're looking for? Never used it myself, so don't know if it would do what you want. Fields of the points to receive the interpolated values. Click on the three dots button to select a directory and name for your output layer. Data collected during the 2014 cruise include swath bathymetry, sidescan sonar, chirp and boomer seismic-reflection profiles, acoustic Doppler current profiler, and sample and bottom photograph data. The functions of the sp package work together with functions in rgdal, rgeos and raster package to format changes, geomety selections or transformations and raster/vector format changes. Would Create Spatial Reference be what you're looking for? Never used it myself, so don't know if it would do what you want. 1 and later can load ECRG files by pointing to the toc. We will import three shapefiles. Here is the screenshot of shapefile from QGIS (Quantum GIS) tool of 1:10m all shapefile layers uploaded at once. We can import shapefile data from ArcGIS to R-programme with export shapefile data to excel. A function can be used to select a subset of the raster cells (by their values). e either “Point”, “Line” or “Polygon”?. Converting a Shapefile (vector) to a GeoTiff (raster) Moving data from format to format also includes moving it from vector to raster or the other way round. A binary equivalent, known as well-known binary (WKB), is used to transfer and store the same information on databases. I'm trying to use* extract()* from raster library to get data values from netcdf file that are inside a shapefile. Instructions provided describe how to extract Z values from a raster surface and write them into a point shapefile attribute table with the field calculator. Things You'll Need To Complete This Tutorial. 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. Aside from manipulation matrix and array objects, the primary ways to handle rasters in R are the raster, rgdal and sp libraries. This is an R wrapper for the 'gdal_contour' function that is part of the Geospatial Data Abstraction Library (GDAL). Convertin feature (shapefile) to Raster dataset Arcmap ArcGIS Convert shapefile to Raster using ArcGIS Convert shapefile to Raster. Are the pixels actually shifting? For example, the input raster will have different values compared to the output raster in different locations of the raster? Or is the shift associated with how/where the shapefile is clipping the raster? If you were to resample your raster to a finer resolution and then clip the raster, what would be the result?. gdal for the import. Create a RasterLayer from the Raster. R-convert SpatialLines into raster. that rule, it is possible to define the configuration option OGR_ORGANIZE_POLYGONS=DEFAULT to proceed to a full analysis based on topological relationships of the parts of the polygons so that the resulting polygons are correctly defined in the OGC Simple Feature convention. Read and write ESRI Shapefiles with R Submitted by Anonymous (not verified) on 18 June 2010 - 4:17pm The ESRI Shapefile is a widely used file format for storing vector-based geopatial data (i. R is becoming a powerful GIS package, allowing us to use one software to manage and to model our spatial data! The sp package defines the main spatial classes. How To: Clip or extract the area of a raster image using polygon features Summary. The raster files register precisely with the 10m vector data. The input field type determines the type of output raster. One shortcut method I use sometimes is to create a feature dataset in a file geodatabase, import the coordinate system from the layer with the desired value, then import the relevant feature classes into that. Large directories will load as a map catalog with a default Map Zoom setting. This second example illustrates the creating of a base map for North America that conforms to the projection used for the na10km_v2 data. However, there are also functions for creating netCDF files within R. You can export raster data from within ArcMap by using the Export Raster Data dialog box or using a geoprocessing tool.