Thisepisode introduces the two primary types of geospatial data:rasters and vectors. After briefly introducing these data types, thisepisode focuses on raster data, describing some major features and typesof raster data.
The Rfor Raster and Vector Data lesson will focus on how to work withboth raster and vector data sets, therefore it is essential that weunderstand the basic structures of these types of data and the types ofdata that they can be used to represent.
A map of elevation for Harvard Forest derived from the NEONAOP LiDAR sensor is below. Elevation is represented as continuousnumeric variable in this map. The legend shows the continuous range ofvalues in the data from around 300 to 420 meters.
The map above shows the contiguous United States with landcover ascategorical data. Each color is a different landcover category. (Source:Homer, C.G., et al., 2015, Completion of the 2011 National Land CoverDatabase for the conterminous United States-Representing a decade ofland cover change information. Photogrammetric Engineering and RemoteSensing, v. 81, no. 5, p. 345-354)
The map above shows elevation data for the NEON Harvard Forest fieldsite. We will be working with data from this site later in the workshop.In this map, the elevation data (a continuous variable) has been dividedup into categories to yield a categorical raster.
The spatial extent is the geographic area that the raster datacovers. The spatial extent of an R spatial object represents thegeographic edge or location that is the furthest north, south, east andwest. In other words, extent represents the overall geographic coverageof the spatial object.
Raster data can come in many different formats. For this workshop, wewill use the GeoTIFF format which has the extension .tif. A.tif file stores metadata or attributes about the file asembedded tif tags. For instance, your camera might store atag that describes the make and model of the camera or the date thephoto was taken when it saves a .tif. A GeoTIFF is astandard .tif image format with additional spatial(georeferencing) information embedded in the file as tags. These tagsshould include the following raster metadata:
A raster can contain one or more bands. One type of multi-band rasterdataset that is familiar to many of us is a color image. A basic colorimage consists of three bands: red, green, and blue. Each bandrepresents light reflected from the red, green or blue portions of theelectromagnetic spectrum. The pixel brightness for each band, whencomposited creates the colors that we see in an image.
I get the Export Raster Data dialog box as expected. I would like to export the Raster Data to a GeoTIFF w spatial data brought along. However I cannot change the format box to GeoTIFF. It is greyed out and I am unable to change it.
I am sure something is wrong with my basic approach as I am not an experienced user. But I am following the directions in the help and they are not working. Any advice would be appreciated! Please see attached screenshot.
Ok. I was able to change the format to TIFF and put a file name of DOQQ-Clip.tif in the file name field. However when I use the browse button next to location I am unable to just put a plain folder/directory in it. Please see attached screenshot. NOt sure how to get the TIFF exported still.
It appears to be asking you to select a workspace... so if you want it to go into a folder, select the folder name (try the 'gis' folder for example) Once the workspace (aka a folder or a geodatabase) you should get asked for a file name
There are 258 countries in the world. Greenland as separate from Denmark. Most users will want this file instead of sovereign states, though some users will want map units instead when needing to distinguish overseas regions of France.Natural Earth shows de facto boundaries by default according to who controls the territory, versus de jure. Optional point-of-view (POV) variants are available for several dozen countries in the next section. [drain file 21 show nev_download][drain file 335 show nev_download]
Nested polygons for each depth created from SRTM Plus.[drain file 56 show nev_download][drain file 44 show nev_download][drain file 47 show nev_download][drain file 45 show nev_download][drain file 48 show nev_download][drain file 49 show nev_download][drain file 50 show nev_download][drain file 51 show nev_download][drain file 52 show nev_download][drain file 53 show nev_download][drain file 54 show nev_download][drain file 55 show nev_download][drain file 46 show nev_download]
There are 209 sovereign states in the world, though only 199 issue passports. Auxiliary themes include 298 cartographic map units and 360 subunits optimized for labeling edge cases, like the four constitute countries of England, Scotland, Wales, and Northern Ireland in the United Kingdom.[drain file 125 show nev_download][drain file 352 show nev_download][drain file 124 show nev_download][drain file 118 show nev_download][drain file 117 show nev_download][drain file 121 show nev_download]
Internal administrative divisions of countriesNatural Earth shows de facto boundaries by default according to who controls the territory, versus de jure. Adjusted to taste which boundaries are shown, hidden, and how they are rendered using the fclass_* properties to create POV worldviews.[drain file 127 show nev_download][drain file 269 show nev_download][drain file 126 show nev_download][drain file 355 show nev_download]
Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.
Natural Earth solves a problem: finding suitable data for making small-scale maps. In a time when the web is awash in geospatial data, cartographers are forced to waste time sifting through confusing tangles of poorly attributed data to make clean, legible maps. Because your time is valuable, Natural Earth data comes ready-to-use.
The carefully generalized linework maintains consistent, recognizable geographic shapes at 1:10m, 1:50m, and 1:110m scales. Natural Earth was built from the ground up so you will find that all data layers align precisely with one another. For example, where rivers and country borders are one and the same, the lines are coincident.
Natural Earth, however, is more than just a collection of pretty lines. The data attributes are equally important for mapmaking. Most data contain embedded feature names, which are ranked by relative importance. Other attributes facilitate faster map production, such as width attributes assigned to river segments for creating tapers.
I used the mosaic from Raster Functions to mosaic my raster layers. But when I tried to export the mosaic raster using Data > Export Raster, it gave me an error message: Failed to export Mosaic Rasters: Failed to export the data.
I ran into this same issue today. Two rasters pasted fine, but the third failed, giving that generic error message. I tried Dan's suggestion, as well as a couple other methods, including exiting from Pro and trying to directly copy/paste the files in Explorer, which finally provided the more informative answer of not enough open space on my drive. Pro doesn't seem to know that. It just knows it didn't work.
For the raster layer, I tried to create an attribute table through two functions 1) convert Float to Integer using Int, 2) Build Raster Attribute Table. After the functions ran successfully, the attribute table option of the raster layer is still unavailable. (I also tried to use Copy Raster before Build Raster Attribute Table)
I seem to recall struggling with this some time back. You have followed the correct process, but once you have built your attribute table, remove the raster from your project then add it in again. I don't think you need to restart Pro but consider that if your attribute table does not show.
Can you be more explicit about what you want to achieve? I would need a lot more information to understand your datasets and how you want to combine them, because straight off I dont think it is easily possible. Perhaps there may be some work-arounds.
Hi Mervyn, I have a raster layer and a vector layer. I need to add the value of the raster into the attribute table of the vector. For example, the radiation data in a raster and the buildings data in a vector, I want to know how much radiation each building receives.
I used Zonal Statistics as Table to calculate the sum of the radiation in each vector area (each building). So it generated a table with the sum value and an index column from the vector. And then I used Join to combine the data in the Table to the attribute table of the vector, using the index column.
I do a lot of these kinds of analyses. Once again you are using the right set of tools. Just make sure you use the correct input field when running Zonal Statistics as a Table. Click on validate and it will warn you if any buildings have no data in corresponding solar radiation table. You used the index field which is perfect. You also used the sum option which sounds right for adding up the watt hours per square meter. Then I would also run the Join Field tool tool using teh index field.
But it is always good to validate your output by adding in the original radiation surface and then zooming into a small building and confirming that the output seems reasonable for that building (within range).
In computer graphics and digital photography, a raster graphic represents a two-dimensional picture as a rectangular matrix or grid of pixels, viewable via a computer display, paper, or other display medium. A raster is technically characterized by the width and height of the image in pixels and by the number of bits per pixel.[citation needed] Raster images are stored in image files with varying dissemination, production, generation, and acquisition formats.
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