How To Use Gdal

first you need to install gdal. Traditionally GDAL used to design the raster part of the library, and OGR the vector part for Simple Features. However, it is possible to call GDAL functionalities directly through the command line from a terminal, which is equivalent to calling a system() command directly from within R. We then use the GetSubDatasets() method on the GDAL object to list the subdatasets, as well as their descriptions. I have tried to. Use GDAL from R Console to Split Raster into Tiles When working with raster datasets I often encounter performance issues caused by the large filesizes. It is also included as part of the QGIS Desktop. Ogr2ogr download windows An easier way to install GDAL and python bindings for between ogr2osm on Windows is to use the Windows binaries from. The download instructions are on the GDAL site. bat file) Welcome guest. I used this video to guide me and so far it worked. 3D DEM Viewer from MS MacroSystem. (There are other ways to do the same, using simple math. gdal¶ GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source License by the Open Source Geospatial Foundation. 11 wireless LANs. Using GDAL to cut a large GeoTIFF raster image to smaller files Sometimes it may be necessary to cut up a large raster image into smaller tiles so that the dataset can be more manageable. Open function. In the case of GeoPackage, of course we choose block dimensions that exactly matches GeoPackage tiles. The pre-release version is used in this tutorial. 1 is the last version available at the time of writing) and install it. msi installer will put GDAL binaries at "C:\Program Files\GDAL\" by default. Re: How to use gdal_retile? First, I can only talk about gdal_retile. tif' Here are two ways to get the affine transformation matrix, T0. Closed TimJMartin opened this issue Oct 9, 2015 · 19 comments Closed How to I installed node-gdal using. The contents of this file can be displayed from GDAL commandline utilities using the --license commandline switch. Here are some resources and code examples to help you. I used: C:\Program Files (x86)\GDAL\gdal-data. 10, released 9/21/15, there is a new interface for Gdalidrisi that makes it easy to select SubDatasets. Once again, confirm the gdal-data directory makes sense relative to your GDAL installation folder. The following are code examples for showing how to use gdal. GDAL comes packaged with several command line tools. First, use gdal_translate to convert your raster layer to a tiles layer (see here for MBtile specific options). I want to make a random point and convert it to a shape file. @Marek Kowalewski can the gdal_translate be used with GeoTiff raster with multiple bands to an. What is a GDAL? is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. Import Gdal on Visual Studio. Software using GDAL¶. The developer oriented library is available as a C/C++ API. gdalmanage - Identify, copy, rename and delete raster. It is so simple. This is an R wrapper for the 'gdal_translate' function that is part of the Geospatial Data Abstraction Library (GDAL). GDAL is built from source in the Dockerfile, and version 2. They are extracted from open source Python projects. While written in C/C++, it has bindings for use within JAVA, PERL, Python,. 04) you can use the ubuntugis-unstable PPA to install GDAL 2+. You merge rasters in GDAL using gdal_merge. GDAL/OGR Quickstart ¶ You will need nothing but a terminal for this quickstart. GDAL java bindings use the native GDAL installation, so they make use of Java Native Interface (JNI) to call and be called by the native GDAL applications. You can vote up the examples you like or vote down the ones you don't like. When working with raster datasets I often encounter limitations caused by the large size of the files. This is a library which historically has been developed and maintained by Frank Warmerdam, but has started to garner quite a few developers. The download instructions are on the GDAL site. tif Note: In this particular case, ensure that the jpg. I have the GDAL binaries, but I have not been able to figure out how to use gdal_translate in order to read in these files. Easy 45 day re. It follows the parameter naming conventions of the original function, with some modifications to allow for more R-like parameters. GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. GDAL is a library and a set of utilities that can be used to perform a wide range of GIS related functions. It turns out the gdal_polygonize utility just wraps a call to GDALFPolygonize so writing your own hacky polygonize Python script is pretty easy. The challenge of supporting OTB across platforms has been solved through the use of CMake, a cross-platform, open-source build system. GDAL Image Formats¶. As I use GDAL a lot (and in need of reminder myself), why not write a how-to with Martian data. Set up your environment to use NCL. But I am really struggling with finding any good documentation for the Python GDAL. ( To test, run IDLE and type "import gdal", it says nothing. See attached gdal_usage_notes. What is a GDAL? is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. Since this version of GDAL has not been released yet, we cannot provide warranties or guarantees for the pre-release version. The primary difference is that in order to force GDAL to load the image, you must use the appropriate flag. I recently upgraded to Windows 10, and have been setting up my GIS workspace settings. The reflectance map generates a GeoTIFF for each band. @Marek Kowalewski can the gdal_translate be used with GeoTiff raster with multiple bands to an. Tested on CentOS 5, RHEL. I want to make a random point and convert it to a shape file. If you want to visualize the results, you can use one of the Desktop GIS Software applications on OSGeoLive like QGIS. We then use the GetSubDatasets() method on the GDAL object to list the subdatasets, as well as their descriptions. The output will have a section called "Size is" and that is the size of your raster (in terms of pixels) first value is column and the second is rows. Commonly referred to as GDAL, it includes the OGR Simple Features Library and the ogr2ogr binary we’ll use to manipulate the Natural Earth shapefiles. Hey guys, So as the title says I have to use GDAL, for coordinate conversion. Firstly, we have to import Gdal to the project: in Visual Studio, right click on project, go to "Manage NuGet packages", type "Gdal" on search field, select Gdal (1. gdal allows a user to create a (binary) GRASS raster map layer, or imagery group, from any GDAL supported raster map format, with an optional title. GDAL2Tiles is an easy to use Python-script. The web site is a project at GitHub and served by Github Pages. spatial extent, projection) from a raster file and creates a corre- sponding empty output file. How can we do that? Let's start importing GDAL: Then we need t0 open the raster file: To finish getting what we need, let's get our affine transform coefficients with the following: Where…. /configure make make install Quite obviously, Windows isn't exactly the same as Linux, so you cannot expect to get always an easy and painless build. Every class implements the IDisposable interface to control the finalization of the underlying unmanaged memory referenced by every the wrapper class. The contents of this file can be displayed from GDAL commandline utilities using the --license commandline switch. You can subscribe to the list, or change your existing subscription, in the sections below. Since this version of GDAL has not been released yet, we cannot provide warranties or guarantees for the pre-release version. Your email address. The download instructions are on the GDAL site. You can find binaries at GDAL Binaries. The reflectance map generates a GeoTIFF for each band. 2, can be used to retrieve the list of child objects. Also, I'm having trouble setting the -a_srs option on gdal_translate. IMG into a geotiff, which may be opened by more types of software. The big multitool to know is the Geospatial Data Abstraction Library. Drag and drop the original ArcGrid file from the same directory that the conversion script is located in. Yes, some GDAL directories must ne added to%PATH% before running the utility. Please be assured that we will NEVER sell any artwork that is computer or machine. The creating maps page gives some (heavily out-of-date) advice on how to use the gdal_slice. To get going with it, I downloaded the source and built it in Visual Studio 2010. It is also included as part of the QGIS Desktop. Project Your Product using gdalwarp (Geocoding Step) Using the GDAL command line utilities you can project and export files. And I can just use simple command line switches and convert hundreds of rectified tiff in single Gdal Batch Commander run. How to create a 3D Terrain with Google Maps and height maps in Photoshop - 3D Map Generator Terrain - Duration: 20:32. 0 WebApplicatin in which a web page should display maps. A lot of people ask me about how to use PostGIS Raster and the GDAL PostGIS Raster driver in Windows systems. This is the general case when using a global tiling scheme, where the origin of a raster can be anywhere within a tile. Attention: These examples were executed on a linux, box, if you have a Microsoft platform, you must change your path names. x will read the geotiff created this way. 10 is currently under development we will be using SVN to pull the latest sources and install it in an exclusive location. Currently, the downloads at GISInternals use an older version of GDAL (1. You merge rasters in GDAL using gdal_merge. First simple example:. The function opens the gdal-compatible input raster and reads the values in a square window around each cell. Re: How to use gdal_retile? First, I can only talk about gdal_retile. FWTools: Open Source GIS Binary Kit for Windows and Linux Overview FWTools is a set of Open Source GIS binaries for Windows (win32) and Linux (x86 32bit) systems produced by me, Frank Warmerdam (ie. We will build the latest version of the NetCDF library, which should be backwards compatible with older NetCDF formats as well (also see: NetCDF format). The GDAL wheel contains a complete GDAL installation - don't use it alongside OSGeo4W or other distributions. GDAL/OGR is considered a major free software project for its "extensive capabilities of data exchange" and also in the commercial GIS community due to its widespread use and comprehensive set of functionalities. All gists Back to GitHub. Prasun Kumar Gupta. To get going with it, I downloaded the source and built it in Visual Studio 2010. Note that this is a list, where each element (each dataset) is a tuple. Also, I'm having trouble setting the -a_srs option on gdal_translate. Using maptools:. This format is the internal working format for coordinate systems used in GDAL. txt for more information about installing and using GDAL. GDAL has recently included support for the netCDF-4 enhanced data model and netCDF-4 format, as well as improved support for recent additions to the CF conventions. In your case try these, you ll get GDAL installed. We will build the latest version of the NetCDF library, which should be backwards compatible with older NetCDF formats as well (also see: NetCDF format). Here are Listings of commercial and open source software that use it and GDAL sponsors. Most raster data providers may keep metadata in the filename itself, like path, row and a timestamp. The GDAL library consists of a set of command line programs, each with a large list of options. How to create a 3D Terrain with Google Maps and height maps in Photoshop - 3D Map Generator Terrain - Duration: 20:32. IMG into a geotiff, which may be opened by more types of software. The OGR toolkit is a subset of GDAL project. r,raster,gdal,rgdal. gdal allows a user to create a (binary) GRASS raster map layer, or imagery group, from any GDAL supported raster map format, with an optional title. tif gdalwarp -t_srs EPSG:3857 -r near mymap2. 10 to convert USGS GeoPDF maps to GeoTIFF. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. 0 and MapServer 7. This is an R wrapper for the 'gdal_translate' function that is part of the Geospatial Data Abstraction Library (GDAL). Here are the general steps for building NCL from source: Run Configure script. Subscribing to gdal-dev: Subscribe to gdal-dev by filling out the following form. This site is linked from the official GDAL/OGR Binaries page. i am looking to convert these all files together. The pre-release version is used in this tutorial. VRT files are XML files that contain the information about a particular transformation, in this case the gdal_translate step. Every class implements the IDisposable interface to control the finalization of the underlying unmanaged memory referenced by every the wrapper class. GDAL is available as a set of commandline utilities (ready to use binaries files). How to convert XYZ file to Gtif file by using gdal. so files into you classic java lib location (in my case, it is /usr/local/lib/gdal) The Java binding is then ready to use. ReadAsArray() method can be used to read raster data as numerical arrays, ready to use with the Python numerical array capabilities. ) From ground level, an unobscured view of the horizon looks ruler-flat, an…. The reflectance map generates a GeoTIFF for each band. Recently Frank Warmerdam and Michael Paul posted some examples on calling GDAL from. You can vote up the examples you like or vote down the ones you don't like. You can vote up the examples you like or vote down the ones you don't like. Prepare with gdal_retile¶ Introduction to gdal_retily. The download instructions are on the GDAL site. I have the GDAL binaries, but I have not been able to figure out how to use gdal_translate in order to read in these files. 10 to convert USGS GeoPDF maps to GeoTIFF. grd -of GMT gmt_grid. This demonstration uses the default OpenCV imread function. gdalmanage - Identify, copy, rename and delete raster. The Raster Data Access (RDA) driver will be available in GDAL 2. sln files for GDAL, but these became too difficult to maintain. The reflectance map generates a GeoTIFF for each band. How to install Python OSGEO GDAL using pip A number of instructions I found on the Internet were either outdated or incomplete. You can subscribe to the list, or change your existing subscription, in the sections below. Using gdal-dev: To post a message to all the list members, send email to [email protected] Operations on geographic data are most efficient when the input files have identical spatial parameters: i. GDAL is a popular and powerful geospatial data processing library. These programs use the different formatted data to create maps, charts, and 3D models of the earth's surface. Download a single scene here , or sign up for a Planet Explorer account. GDAL is an open source map data processing package with tools for working with both raster and vector data (using the ogr suite of tools). QGIS will correctly display it using the GDAL Virtual Raster driver, and finally it will be accessible programmatically using the GDAL API: for example this is how in Python is is possible to get the metadata information of the first band: >>> from osgeo import gdal >>> from osgeo. You can also use ArcGIS and QGIS to do these things. How to Install GDAL 🌐 using Conda 🐍 on a Mac 🍎 Step 1: Activate your Conda environment 🚀. I am getting the Warning 6:XYZ driver only uses the first band of the dataset. To: The Editor. GDAL Image Formats¶. bat file) Welcome guest. gdal How to split a raster in several tiles using QGIS or Python (GDAL) This task is based on my answer to this question poped up on gis. This is pretty cool, since this enables you to access a great set of tools that I for one have been accessing by generating batch-files in a. I guess that's why the decision was made to do it this way. first you need to install gdal. 1) Starting point is a single georeferenced image or a set of georeferenced tiles 2) The output is set of tiles and pyramid tiles 3) the -tileIndex and -tileIndexField options give you the possibilty to store the georeferencing information of the generated tiles in a shapefile. install (copy) the gdal. spatial extent, projection) from a raster file and creates a corre- sponding empty output file. A lot of people ask me about how to use PostGIS Raster and the GDAL PostGIS Raster driver in Windows systems. generatePyramid, thus the same the blocking sizes would be applied on the pyramids. Uses GDAL for import/export of data. 0 and above. Little odd here is that output file comes first. i want to convert these all files in to gtif files. By default this should be 'C:\OSGeo4W64\bin', using that will be much less bother. The GDAL command line programs allow simple ways of viewing and converting between different image formats, or changing map projections. ) From ground level, an unobscured view of the horizon looks ruler-flat, an…. Hello Everybody, I am developing an Asp. Free Microsoft Powerpoint 2013 Free Download Free. pip install the GDAL wheel file you downloaded. Another reason to use Numpy is tight integration with GDAL in the form of the "GDALNumeric" module. As an example of the use of GDAL, converting an ArcInfo ASCII grid to netCDF (GMT conventions) as easy as: gdal_translate arc_ascii. How to Install GDAL 🌐 using Conda 🐍 on a Mac 🍎 Step 1: Activate your Conda environment 🚀. Welcome to my blog. This will only create the highest zoom level. 1 is the last version available at the time of writing) and install it. 0_0+expat---> Cleaning gdalSo download some tiles and make sure the form you download is a rectangle (see previous screenshot). You can use -where clause to output only portion of shape file content to. This is a predefined domain for child objects. This package will soon be part of the auto-proj transition. Raster/Vector Processing using GDAL/OGR Libraries This workshop introduces students to the powerful Geospatial Data Abstraction Library (GDAL) to manipulate raster and vector files for Geographic Information Systems and Remote Sensing analysis. The GDAL/OGR CSharp classes use the. This is the general case when using a global tiling scheme, where the origin of a raster can be anywhere within a tile. How to Read Raster Data using GDAL. shp file with OGR library,but how to paint them on screen?. sh script distributed with GPSDrive to create map tiles using the tools from GDAL. We will start with GDAL. Tutorial on simple raster manipulation using GDAL. Check that the installation was successful. or use a zip utility to open your product and simply copy the file to a directory of your choosing via the GUI (Figure 4). These are command line utilities, which you can use by typing the appropriate statements at a terminal window prompt (OS X, Linux) or at a DOS Command Prompt (Windows). The only difference is that the first argument should be SUBDATASETS. As a library, it presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats. It follows the parameter naming conventions of the original function, with some modifications to allow for more R-like parameters. exe, then it needs to be added to the PATH environment variable. As a software library it provides both command-line tools for data translation and processing, and API wrappers around its C/C++ API for a range of programming languages (such as Python and Java). Now that you have the GDALIDRISI module set up, you can begin to import your data. The gdal-[version]-core. GDAL is available as a set of commandline utilities (ready to use binaries files). If you haven't before, notice that some of the gdal utilties are actually Python scripts. This open source raster library (used in many apps) has some support for map projected PDS3, PDS4, ISIS2, ISIS3, VICAR, FITS readi… Note: this is a post from 2009, transferred to this new board and update for 2019. Reading Geospatial Raster files with GDAL¶ Geospatial raster data is a heavily used product in Geographic Information Systems and Photogrammetry. As a general rule, if you're using Conda you should never use pip to install something inside it unless you're absolutely sure conda offers no support for it. The use of programming / processing languages like Python and advanced spatial libraries as GDAL (gdal. How can we do that? Let's start importing GDAL: Then we need t0 open the raster file: To finish getting what we need, let's get our affine transform coefficients with the following: Where…. GeoServer can leverage the ImageI/O-Ext GDAL libraries to read selected coverage formats. Users comfortable with running commands from a terminal may prefer the command line, with access to the full set of options. You merge rasters in GDAL using gdal_merge. Setting up your Windows path environmental variables can easily be done through the command line. The following are code examples for showing how to use gdal. It always amazes me how much cool stuff you can do with great open source GIS software these days. I'd love to hear how you use ParaView for geological/mining data/model visualization!. I comment what I had to do if anyone faces the same issue on the future. Firstly, we have to import Gdal to the project: in Visual Studio, right click on project, go to "Manage NuGet packages", type "Gdal" on search field, select Gdal (1. 1‑cp27‑cp27m‑win32. Merging rasters using GDAL¶ This is called mosaic to new raster in ArcMap. py script, which calls a different gdal_translate command using perf stat for each combination of tests. ReadAsArray() method can be used to read raster data as numerical arrays, ready to use with the Python numerical array capabilities. dbf files of some of the locations, but i donot have any idea how to use these files. Here are some resources and code examples to help you. You can vote up the examples you like or vote down the ones you don't like. GDAL is available on many operating systems including Linux, Unix, Mac, and Windows. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ. proj, or use GDAL's gdalwarp or ogr2ogr command line tools. However, as there are multiple ways of storing geospatial information within HDF5 reading the data with GDAL often requires some effort. 0 and above. Create grid/raster from ASCII file using GDAL, FME and ArcGIS keywords : ASCII file, raster, grid, GDAL, OGR, FME, ArcGIS, python to extend a little bit presented GDAL functionality in my previous post I've decided to show you how to create raster file from list of coordinates stored in ASCII file. py can be found on the utilities page of GDAL. GDAL/OGR Quickstart ¶ You will need nothing but a terminal for this quickstart. Below is an example of importing GeoTIFF files using the GDALIDRISI module. The OGR toolkit is a subset of GDAL project. Note: The GDAL dll (gdal111. Due to infection by malicious code, the file contents changed. You merge rasters in GDAL using gdal_merge. py and use the -separate option for indicating that you wish to save the inputs as separate bands in the output file. The download instructions are on the GDAL site. We’re going to use the powerful GDAL library to process the imagery. Bindings in other languages, including Python, are also available. Ask Question Asked 3 years, 3 months ago. GDAL/OGR is considered a major free software project for its "extensive capabilities of data exchange" and also in the commercial GIS community due to its widespread use and comprehensive set of functionalities. grd -of GMT gmt_grid. GDAL is a robust library that allows you to modify and redistribute its source code however you wish. Operations on geographic data are most efficient when the input files have identical spatial parameters: i. Alexandre Neto's blog; Anita Graser; Faunalia; Info Geo Blog; Ireland QGIS User Group Blog. AD3, Alternating Directions Dual Decomposition. All test commands are run in turn by the main gtiff_benchmark. Of course there are also other GIS tools that can do such tasks for you. sln files for GDAL, but these became too difficult to maintain. NET (without using GDAL) I've recently created a process that is able to import geoferenced raster data, namely GeoTiff files with a catch: As I didn't find a proper lib to load GeoTiff files I was converting the source files to an ASCII Gridded XYZ format prior to importing. 1 is the last version available at the time of writing) and install it. The imported file may also be optionally used to create a new location. Note that this is a list, where each element (each dataset) is a tuple. Using GDAL Java Bindings. GDAL2Tiles is an easy to use Python-script. Welcome to the Python GDAL/OGR Cookbook!¶ This cookbook has simple code snippets on how to use the Python GDAL/OGR API. This is the general case when using a global tiling scheme, where the origin of a raster can be anywhere within a tile. GDAL/OGR Quickstart ¶. How to use /vsizip/ and /vsigzip/? #125. x will read the geotiff created this way. pip install the GDAL wheel file you downloaded. Ask Question Asked 3 years, 3 months ago. GDAL stores information about the location of each pixel using the GeoTransform. I thus wrote up a little R function that invokes gdal_translate which would split the raster into parts. Usage looks something like this:. first you need to install gdal. >>> import gdal >>> import ogr >>> import osr >>> import gdalnumeric >>> import gdalconst. gdal¶ GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source License by the Open Source Geospatial Foundation. Both examples work well, but they are terribly inefficient and won't process a really big raster. Export: Converting a raster layer to a MBtiles map takes two steps. If gdal isn't already included, you install it as per the instructions. See details. GDAL is an open source map data processing package with tools for working with both raster and vector data (using the ogr suite of tools). Active 3 years, 3 months ago. spatial extent, projection) from a raster file and creates a corre- sponding empty output file. Biodiverse A tool for the spatial analysis of diversity. Alexandre Neto's blog; Anita Graser; Faunalia; Info Geo Blog; Ireland QGIS User Group Blog. Re: Stitch images using gdal command utility #7 Post by _unknown_ » 28 Oct 2014 03:11 Files added to the input_directory everyday are always delayed one day. first you need to install gdal. Set the GDAL data parameter to the data folder location where you unzipped the GDAL files. Users comfortable with running commands from a terminal may prefer the command line, with access to the full set of options. GDAL (gdal_translate) will convert the. I comment what I had to do if anyone faces the same issue on the future. This tutorial uses the command prompt to workaround bugs in the QGIS interface. If wrapping a shared library with ctypes, it may be better to determine the shared library name at development time, and hardcode that into the wrapper module instead of using find_library() to locate the library at runtime. If gdal isn't already included, you install it as per the instructions. I thus wrote up a little R function that invokes gdal_translate which would split the raster into parts. 0 and above. If you’re on a Mac you can install GDAL through macports:sudo port install gdal---> Installing gdal @1. Download python2-gdal-3. The function returns a GDAL in-memory file object, where you can ReadAsArray etc. Download a single scene here , or sign up for a Planet Explorer account. spatial extent, projection) from a raster file and creates a corre- sponding empty output file. This tutorial describes how to get an RDA chip using GDAL, the RDA Template API, and the DigitalGlobeStrip template. bat file) Using Forums > Off-Topic Posts (Do Not Post Here) Off-Topic Posts (Do Not Post Here) https. Installation (Windows) An easy way to get GDAL2tiles is to use the OSGeo4W installer and install all GDAL-packages and the Python-package. Below is an example of importing GeoTIFF files using the GDALIDRISI module. It is also included as part of the QGIS Desktop. So if you can't use gdal_translate to load raster images from files to GeoRaster you will not going to be able to do it in any other language. The download instructions are on the GDAL site. Once downloaded the GDALIDRISI module will need to be configured. Raster/Vector Processing using GDAL/OGR Libraries This workshop introduces students to the powerful Geospatial Data Abstraction Library (GDAL) to manipulate raster and vector files for Geographic Information Systems and Remote Sensing analysis. App Domain unloaded when using GDAL/OGR ogr2ogr to insert many Geometry records. 0, OTB is compiled using the C++14 standard by default. Go find them on your computer, read the source code and mine them for API tricks. Ask Question Asked 3 years, 3 months ago. We then use the GetSubDatasets() method on the GDAL object to list the subdatasets, as well as their descriptions. As a library, it presents a single raster abstract data model and vector abstract data model to the calling application for all supported formats. You might want to ensure that your package is ready for it. Reading Geospatial Raster files with GDAL¶ Geospatial raster data is a heavily used product in Geographic Information Systems and Photogrammetry. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: