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Data Driven pages, printing from mapsets not working, ArcGIS Desktop 10.2.1

Data Driven pages, printing from mapsets not working, ArcGIS Desktop 10.2.1


Well, it's almost a year on from when I first asked this question on the ESRI user "forum" -

Data driven pages, ArcDesktop 10.2.1 - is there a limitation on how many pages can be printed?

ESRI tech support still can't find a solution.

I have almost 2500 pages to print, from several map sets built with data driven pages, all of which contain large (10x15") raster areas. So far, the "work-around" is to print 10 at a time… and hope the printer doesn't miss a page.

For example, one mapbook MXD contains 60 data driven pages. If I attempt to print more than 10 pages, ArcMap will chew on them and appear to be processing them… then nothing - no error message, no file sent to the printer, nothing.

With ArcMap 9.3.1, we printed MXDs containing 90 pages in one printer session (90 pages at a time), using the DSMapbook tool which was part of the ESRI Developer Samples collection. Those MXDs contained SID rasters which had been lightened, & they printed at higher quality settings.

My non-programmer's guess is that the data driven pages function is spooling multiple pages to temporary files on the computer before sending the data to the printer, and encountering some kind of limit.

After more hours with ESRI specialist printing phone tech support, we tried:

  • changing Windows virtual memory to 12gigs
  • changing the ArcGIS metafile size to 200, and back to 32
  • changing the default printer from a multi-function Canon to a wide-format printer-only Canon
  • changing driver in Print window to ArcPress
  • watching temp files as they were generated and discarded
  • watching files spool in the printer window (control panel/printers)
  • dropping the image resampling from 2 to 3 in the Print window

But we could only get 15 out of 60 of the 11x17" pages to print before the print process just quit with no error messages.

Have any of you good folks run into this issue? (I know I can export to PDF & print from there, but would prefer not to.)


I read you dont want to export to pdf and I can understand why. When faced with the same problem I exported a large number pdf using python to generate the data driven pages into one folder it was so much quicker than trying to generate through the GUI of ArcMap.

I then created a vbs script to print all the documents from that folder - it was purely to get around the exact headache you are having.

copy of the VBS script below:

TargetFolder = "C:	empReports" Set objShell = CreateObject("Shell.Application") Set objFolder = objShell.Namespace(TargetFolder) Set colItems = objFolder.Items For Each objItem in colItems objItem.InvokeVerbEx("Print") Next

Create a spatial map series

A spatial map series generates a set of output pages by taking a single layout and iterating over a set of map extents. The extents are defined by the features in a layer known as the index layer. A spatial map series is created by choosing an index layer and setting additional options in the Layout Properties window. The options for a map series are divided into three sections: Index Layer , Optional Fields , and Map Extent .

Spatial map series is only supported for 2D maps to create a map series based on a 3D scene, use a bookmark map series.


Geoprocessing

There are a number of new tools, improvements to existing tools, and new ArcPy functions at ArcGIS 10.2 .

New and improved tools

The following geoprocessing tools have been added or improved for ArcGIS 10.2 :

3D Analyst toolbox

  • Features From CityEngine Rules tool creates multipatch geometries from 2D or 3D input features using rules authored in CityEngine. This allows you to generate detailed 3D models directly from within ArcGIS.
  • Export To 3D Web Scene tool exports ArcScene documents to a CityEngine Web Scene format (.3ws) which you can upload and share via ArcGIS Online. Web Scenes can be viewed on any WebGL-compliant browser.

The Visibility toolset contains a new tool for visibility analysis: Intervisibility tool.

The Raster To TIN tool now honors the output extent environment setting.

The Construct Sight Lines tool includes a new Output The Direction parameter which adds two additional fields to the output sight lines to indicate direction: AZIMUTH and VERT_ANGLE (vertical angle).

Cartography toolbox

The Delineate Built-Up Areas tool includes a new Minimum Building Count parameter to control the minimum number of buildings that must be collectively considered for representation by an output built-up area polygon.

Conversion toolbox

A new Excel toolset has been added for converting Excel spreadsheets to and from tables.

A new JSON toolset has been added for converting features to and from their JSON representation.

The new Multipatch to Raster tool provides the ability to convert a Multipatch dataset to a raster surface.

Data Management toolbox

The Data Management toolbox includes a new Archiving toolset, which contains tools for working with geodatabase archiving.

The following changes have been made in the Raster toolset:

  • The following new tools have been added:
    • The Compute Pansharpen Weights tool calculates the pan-sharpening weights for any set of pan-sharpening datasets.
    • The Merge Mosaic Dataset Items tool merges mosaic dataset items into the same row.
    • The Split Mosaic Dataset Items tool unmerges any mosaic dataset items that have been merged together previously.

    data_source_type and minimum_pixel_contribution

    Data Reviewer toolbox

    The Data Reviewer toolbox includes a new tool, Delete Reviewer Session . This tool removes one or more Reviewer sessions and all records associated with them. Use this tool with other Reviewer geoprocessing tools such as Create Reviewer Session and Execute Reviewer Batch Job to automate quality-control workflows.

    Geostatistical Analyst

    A new GeostatisticalDatasets ArcPy class has been added. For more information, see the Extensions section below.

    Spatial Analyst toolbox

    A new Visibility tool has been added to the Surface toolset.

    For more information on these updates, see the Extensions section below.

    Spatial Statistics toolbox

    A new Optimized Hot Spot Analysis tool has been added.

    ArcPy

    • You can now automate publishing geocode services using Python. CreateGeocodeSDDraft function can be used to create service definitions from your address locators.
    • You can create an SQLite database that contains the Esri ST_Geometry type or SpatiaLite using the new CreateSQLiteDatabase workspace function.

    ArcPy functions

    Raster functions

    • If the input Raster instance is based on a multibanded raster, it returns a three-dimensional (3D) array, where the length of the first dimensions represents the number of bands. The 3D array will have the dimensions (bands, rows, columns).
    • If the input Raster instance is based on a single raster or a specific band from a multibanded raster, it returns a two-dimensional (2D) array with the dimensions (rows, columns).
    • If the input array has three dimensions (3D), it returns a multiband raster, where the number of bands equals the length of the first dimension and the size of the raster is defined by the second and third dimensions (bands, rows, columns).
    • If the input array has two dimensions, it returns a single-band raster, where the size of the raster is defined by the dimensions (rows, columns).

    Note: If the input array has three dimensions, and the first dimension has size 1, it returns a single-band raster.

    Geoprocessing services

    Geoprocessing tools in ArcGIS Server Linux are on average 25 percent faster due to file input/output optimization.


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    9.5 When to use what?

    To recommend a single R-GIS interface is hard since the usage depends on personal preferences, the tasks at hand and your familiarity with different GIS software packages which in turn probably depends on your field of study. As mentioned previously, SAGA is especially good at the fast processing of large (high-resolution) raster datasets, and frequently used by hydrologists, climatologists and soil scientists (Conrad et al. 2015) . GRASS GIS, on the other hand, is the only GIS presented here supporting a topologically based spatial database which is especially useful for network analyses but also simulation studies (see below). QGIS is much more user-friendly compared to GRASS- and SAGA-GIS, especially for first-time GIS users, and probably the most popular open-source GIS. Therefore, RQGIS is an appropriate choice for most use cases. Its main advantages are

    • A unified access to several GIS, and therefore the provision of >1000 geoalgorithms (Table 9.1). This includes duplicated functionality, e.g., you can perform overlay-operations using QGIS-, SAGA- or GRASS-geoalgorithms.
    • The automatic data format conversions. For instance, SAGA uses .sdat grid files and GRASS uses its own database format but QGIS will handle the corresponding conversions for you on the fly.
    • RQGIS can also handle spatial objects residing in R as input for geoalgorithms, and loads QGIS output automatically back into R if desired.
    • Its convenience functions to support the access of the online help, R named arguments and automatic default value retrieval. Please note that rgrass7 inspired the latter two features.

    By all means, there are use cases when you certainly should use one of the other R-GIS bridges. Though QGIS is the only GIS providing a unified interface to several GIS software packages, it only provides access to a subset of the corresponding third-party geoalgorithms (for more information please refer to Muenchow, Schratz, and Brenning (2017) ). Therefore, to use the complete set of SAGA and GRASS functions, stick with RSAGA and rgrass7. When doing so, take advantage of RSAGA’s numerous user-friendly functions. Note also, that RSAGA offers native R functions for geocomputation such as multi.local.function() , pick.from.points() and many more. RSAGA supports much more SAGA versions than (R)QGIS. Finally, if you need topological correct data and/or spatial database management functionality such as multi-user access, we recommend the usage of GRASS. In addition, if you would like to run simulations with the help of a spatial database (Krug, Roura-Pascual, and Richardson 2010) , use rgrass7 directly since RQGIS always starts a new GRASS session for each call.

    Please note that there are a number of further GIS software packages that have a scripting interface but for which there is no dedicated R package that accesses these: gvSig, OpenJump, Orfeo Toolbox and TauDEM.


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    Despite all the significant progress in the application of emerging technologies in compacting COVID-19, there is still a need for further implementation of these technologies for detecting, monitoring, diagnosing (Tsikala et al., 2020 ), screening, surveillance, mapping, tracking, and creating awareness (Aishwarya, Puneet, & Ankita, 2020 ). The size, availability and accessibility to COVID-19 data improve performance of AI models, GIS concepts, and IoMT applications. Future work should focus on strengthening the current technologies and there is a strong need for the emergence of a robust computationally intelligent model for early differential diagnosis of COVID-19. Also, the future work should focus on the ethical framework and acceptable use of emerging technologies when tackling COVID-19 pandemic while observing the security and privacy of people's data.


    Real Estate

    The Shopping Center Group relies on ArcGIS for up-to-date market analysis and key data such as demographics and competitive information.

    City Planning Healthcare Emergency Management Real Estate

    Watch the video: ArcMap Data Driven Pages