ArcGIS Blog » Mapping ArcGIS Blog Wed, 01 Apr 2015 23:24:53 +0000 en-US hourly 1 Web AppBuilder for ArcGIS v1.1 Developer Edition Now Available! Thu, 26 Mar 2015 21:51:32 +0000 law Continue reading ]]> Web AppBuilder for ArcGIS enables you to create and deploy new custom web apps that can run on any device without programming. Built on the ArcGIS API for JavaScript and HTML5 technology, the Developer Edition enables you to extend the capabilities of Web AppBuilder with your own custom widgets, panels, and themes.

Highlights of the latest update v1.1 include:

  • A new Analysis widget enabling you to incorporate the analysis tools from the ArcGIS Online map viewer into your web apps;
  • A new Time Slider widget which can display temporal layers in a map and animate the map to see how the data changes over time;
  • A new Swipe widget to compare and contrast different layers in a map;
  • Support for related records in the Query and Attribute Table widgets, and in pop-ups.
  • Support for using URL parameters for the app (for example you could pass a web map ID in the web app’s URL to auto load the desired web map in your web app)

Additional details on What’s New in the 1.1 release are documented in the help.

Download the Web AppBuilder for ArcGIS v1.1 Developer Edition

FYI: the Web Appbuilder user community has contributed several custom widgets that you can use with Web AppBuilder Developer Edition, you can get them from GeoNet here.

The Web AppBuilder for ArcGIS Development team

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The Living Atlas of the World has expanded to include new user community content in the World Topographic Map Thu, 26 Mar 2015 18:55:24 +0000 Shane Matthews Continue reading ]]> The ArcGIS Content Team has just completed another update to the Living Atlas of the World. The user community has provided new and updated World Topographic Map content for cities, counties and universities in the United States, Canada, and Japan. Another thanks to our users and partners who are supporting Community Basemaps.

Applied Use – Topographic Map Updates, Useful Maps and Applications

Our newest contributor is Alachua County, FL (Topo 1:9k to 1:1k).

The Alachua County Growth Management Department is leveraging the ArcGIS Platform quite well by creating feature layers, web maps and applications that include topics like land use, preservation, public schools and zones, recreation amenities.

Here ‘s an example…

Alachua County Bike Lanes and Paved Shoulders This data set contains roadways having bike lanes or shoulders accommodating to bicycle traffic, or designated for improvements including adding bike lanes. This data set corresponds with the existing and future bike lanes in the map “Bike/Pedestrian Existing & Future Network” which is part of the Transportation Mobility Element in the Alachua County Comprehensive Plan.

Alachua County is also contributing content to ArcGIS Open Data, where anyone can search across the entire community of shared open data.

Jacksonville, FL (Topo 1:9k to 1:1k) is another new contributor.

This is a good example of applied use of demographic content. Jacksonville can use this information in the context of their contributed basemap data. The Child Opportunity Index is calculated based on Education, Health & Built Environment and Neighborhood Social & Economic Opportunity indicators.

The Gateway to Yellowstone National Park, Red Lodge, MT (Topo 1:9k to 1:1k) has also contributed new content.

Our next new contributor for this refresh is University of Idaho, ID (Topo 1:9k to 1:1k). The university located in the tight knit community of Moscow. Students and faculty will find that the newly contributed campus level detail that includes buildings, walking paths, trees and sidewalks will be a useful tool for navigating.

Rounding out our new contributors for this refresh is Waterford, CT (Topo 1:9k to 1:1k).

Look how valuable a map can become when contributors share their authoritative content.

Before contributing

After contributing

This refresh also includes a few updates.

Country of Japan (Topo 1:577k to 1:1k)

Nova Scotia (Topo 1:9k to 1:1k)

Yellowknife, Northwest Territories, Canada (Topo 1:9k to 1:1k)

View this presentation for a tour of the new and updated content in the World Topographic Map.

Here’s a list of all the community contributors for this release:

World Topographic Map

New communities in Canada also include:

  • Calgary
  • Lethbridge
  • Oakville
  • Region of Waterloo

Updated communities in Canada also include:

  • Fort St. John, BC
  • Kelowna, BC
  • Quesnel, BC
  • Lethbridge, AB
  • Sturgeon County, AB
  • Waterloo, ON
  • Repentigny, QC
  • Cape Breton, NS
Our colleague, Paul Heersink has authored a blog, “Improving the World Topographic Base Map: more incremental changes”, for Canadian communities.


The highly-anticipated Preparing Data for Community Maps Workshop self-study materials have been released! Now you can participate in this training at anytime, from anywhere.

Stay updated on program news, tips and tricks, user success stories, training events, and participant contributions by subscribing to the Community Maps Newsletter. You can have the newsletter sent right to your inbox by subscribing here.

Share your story: How has contributing to the Living Atlas Community benefited your organization? Has your participation helped meet a particular challenge? Email us at so we can promote your success.

Contributions and Feedback

These contributions were made through the Community Maps Program.

For more information visit the Community Maps Program Resource Center.

The service was updated on the following servers: and If you have previously used the World_Topo_Map, you may need to clear your cache in order to see the updates.

If you have feedback on content, try our Topographic Map Feedback web map.

If you have other feedback or comments, please post them to the ArcGIS Online Discussion Group and the Living Atlas Discussion Group on GeoNet.

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Street Map Premium for ArcGIS now available for the Middle East and Africa Tue, 24 Mar 2015 17:15:22 +0000 ArcGIS Content Team Continue reading ]]> StreetMap Premium for ArcGIS Middle East and Africa enhanced street dataset is now available. The dataset provides routing, geocoding, and high-quality cartographic display for a number of countries in the Middle East and Africa using ArcGIS for Desktop or ArcGIS for Server. The new release of StreetMap Premium contains street data from NAVTEQ for 73 countries in the Middle East and Africa. You can learn about mapping, geocoding, and routing coverage for a specific country on the product coverage page.

StreetMap Premium for ArcGIS Middle East and Africa is optimized to work with ArcGIS Desktop’s Find Route tool and the ArcGIS Network Analyst extension. The network dataset includes trucking restrictions, impedance options, and historical traffic data.

Route with stops in Cape Town, South Africa
Route with stops in Cape Town, South Africa

StreetMap Premium includes support for geocoding and reverse geocoding addresses in the Middle East and Africa. Individual address locators that are specific to countries in the Middle East and Africa are available, as well as composite locators that support multiple levels of geocoding for individual countries.

Learn more about StreetMap Premium for ArcGIS.

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Smart Mapping Part 3: Rounding classes for Color and Size drawing styles Fri, 20 Mar 2015 21:53:54 +0000 Mark Harrower Continue reading ]]>

(By Adelheid Freitag, ArcGIS Online development team)

Esri’s smart mapping initiative helps to add professional touches to your maps automatically. In part 3 of this series (part 1 and part 2) we explore how smart mapping can make attractive map legends on-the-fly that use a clever approach to rounding numeric labels. A good map legend is one that is uncluttered, offers good representative examples, and uses rounded numeric labels that are easy to read and easy to remember. For most of us, “2,500” is easier to remember and work with than “2,437.8938” and is simply a better candidate for a map legend. 

When working with the map types Counts and Amount (Color) or Counts and Amounts (Size), go to the style options and check the ‘Classify Data’ option, you will see the additional option to round your classes.

By default smart mapping is using the Natural Breaks method for calculating class breaks. You can change this to other methods like Equal Interval, Standard Deviation, or Quantile. Whatever you choose might result in class break values that are too precise for the message you want to provide. E.g. if you want to show population you might not want to show class break values like “2,333,169 to 5,363,675”. Instead you want to round those values.

Rounding is an especially good idea when working with very large numbers and relatively few classes. Here, the author has asked to have the class breaks and legend rounded to the nearest 100,000.

The rounding value options that show up when you open the ‘Round classes’ options list are filtered to what makes sense for your data. It takes into account the range and the precision of your data (number of significant figures), so you will see a different list depending on the layer, layer filter or attribute you’re choosing. For example, rounding to 1,000 makes the above numbers change to “2,333,000 to 5,364,000”. At this point it changed not only the labels of your classes but also the actual class break values you see on the histogram. You will see your selected method change to Manual Breaks instead of staying at Natural Breaks, because the class break values changed. The breaks are still close to, but not exactly at Natural Breaks anymore. If you go back to the ‘Round classes’ options list you will now see all options below 1000 greyed out, because it can’t go back to being more precise after rounding them. Though, if you think you rounded too much, select the Natural Breaks method again and then choose a smaller rounding value.

If you rather change class break values one at a time you can do this by editing the values on the slider (click on the value you want to change) and you can adjust labels one at a time via the Legend tool on the side of the slider below the Symbols tool.

Stay tuned for more details about smart mapping in upcoming blog posts.

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Smart Mapping Part 2: Making Better Size and Color Maps Tue, 17 Mar 2015 19:40:14 +0000 Mark Harrower Continue reading ]]> In our first smart mapping blog we talked about how Esri has made it easier than ever for you to create attractive maps quickly and with confidence. Now, we explore the new continuous size and continuous color maps you can make with ArcGIS Online.

Smart mapping is about authoring visually powerful maps that let the data speak for itself. As one piece of that, we introduced new ways to apply size and color to your data to tackle long-standing issues with data classification, while simultaneously overcoming some of the well-known limitations of unclassed maps.

As a map author you now have the ability to fine tune how you apply colors and sizes to your data using a histogram-based interface. It’s time to raise your cartographic game!

Moving Beyond Outlier-Driven Cartography

For years in cartography there were two choices when dealing with numeric data: Class your data into a few ranges (e.g., 0-10, 11-20, 21-30, …) or apply a continuous size or color ramp from the lowest to highest value. The problem is that both options have well-known limitations. For example, classification can mask important details by overgeneralizing, and many authors aren’t sure how many classes to use or which classification method is best for their data. On the other hand, unclassed maps can be made useless by one or two extreme values (outliers) making everywhere look the same except for one giant or tiny outlier. In print maps, it can be hard to match a color on the map with one in the legend. Fortunately, in this interactive digital age, we can click on our maps to see precise values whenever we need them, further reducing the need to classify our data.

Authors can decide how to apply the color ramp to their data. The bounded approach avoids the limitations of both classed and unclassed maps since the author can decide over what range they want the color to vary.

With Smart Mapping, we’ve introduced a third choice! It combines the best of both approaches and is now the default experience when authoring color or size maps in ArcGIS Online. We call it “bounded” continuous size and “bounded” continuous color.

In this map showing the world’s largest cities, the upper handle has been set to 20 million people—all cities larger than that will be shown using the same size circle—and the lower bound is set to 4.5 million people. With bounded size maps you can now visually explore your data and fine-tune the message of your map using the histogram and slider handles.

Setting the Handles to Fine-Tune your Map

If your data does not already have styling associated with it, we automatically analyze your data and place the upper and lower handles at one standard deviation around the mean. We found this does a nice job of showing variation across the data, while not being overly influenced by extreme values. Though these smart defaults handle positions are a great starting point, we definitely encourage you to manually drag the handles to fine-tune the message of your map. It is quite amazing how subtle patterns will emerge in a few seconds of adjustments.

Going Further

If making a size map (proportional symbol) the ArcGIS map viewer will automatically make an informed guess to set the size in pixels of the largest and smallest circles. You can, of course, adjust these sizes yourself. If you zoom when mapping data associated with polygons, you click “suggest” and have the map automatically re-calculate appropriate sizes for your symbols, saving you time and effort. And as always, while the map viewer will default to circles you can use any symbol/shape you like. If making a color map (choropleth) try different color ramps and themes. Themes are an exciting new enhancement to the map viewer (which we will explore in another blog post).

Where to Find These New Size and Color Maps

In the ArcGIS Online map viewer, if you have numeric data you can apply Counts and Amounts (Size) or Counts and Amounts (Color) from the layer context menu associated with your data layer.

Have fun exploring your data and stay tuned for further blog posts!

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ArcGIS Pro in DaaS Tue, 10 Mar 2015 06:16:42 +0000 John Meza Continue reading ]]> During the Esri Partner Conference and Developer Summit ArcGIS Pro has been demo’d this week from the Nvidia Test Drive.

Location of ArcGIS Pro on Desktop

The Nvidia Test Drive virtual machines are good examples of Desktop-as-a-Service (DaaS).

In the demos ArcGIS Pro is delivered in a virtualized remote desktop that is provided by Nvidia’s cloud computing infrastructure located in Oregon. The servers containing the hypervisors have on-board Nvidia GRID cards  that enable the delivery of a rich graphic intensive user experience. ArcGIS Pro’s use of DirectX and OpenGL graphics library  benefits from this technology in a big way.

You can try ArcGIS Pro in a Nvidia Test Drive VM!

Use this link ->

Follow the instructions at the link to create an account and start using ArcGIS Pro in a DaaS environment. In this Desktop virtual machine ArcGIS Pro is setup to use the Philadelphia dataset which is provided by Pictometry. It’s ready to use.

This  high quality, visually appealing dataset is used by the Performance Engineering team for regular performance testing of ArcGIS Pro. It’s also used by virtualization vendors in their testing efforts to benchmark their VDI platforms.

Questions and interest in DaaS as a delivery mechanism for software are increasing.  We at Esri are also being asked if and how ArcGIS Pro can be delivered in a DaaS environment. To help answer that question Esri worked with Nvidia to provide this example of Pro in a DaaS environment

As the number of DaaS providers/solutions continues to increase, it’s important to select those that maximize ArcGIS Pro’s user experience.  Shareable GPU’s, a feature in NVIDIA’s Test Drive VM, is one DaaS component that should be considered critical for increased performance.

If you are at the Esri Developer Summit this week (March 10-13) stop by the Virtualization Island in the Expo Hall. We will be demo’ing it there and can discuss DaaS as a virtualization solution, how it works, and what it takes to get that great ArcGIS Pro user experience.

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ArcGIS Pro in VMWare Horizon View Mon, 09 Mar 2015 05:12:29 +0000 John Meza Continue reading ]]> Pro in VMWare Horizon View

Desktop virtualization is increasing and will continue as more physical desktops are moved to VDI solutions and delivered from servers in a datacenter, either on premise or cloud based (DaaS).

Esri is committed to testing and benchmarking ArcGIS Pro performance, scalability, density and user experience in virtualization platforms. We have great collaborative relationships with the virtualization vendors that are most heavily used and that are delivering the best user experiences for our users.

An important note for our users that are already using ArcGIS Desktop in VDI or application virtualization environments, ArcMap and Pro virtualize differently. ArcGIS Pro is a state of the art, industrial -grade GIS software package with a new DirectX/OpenGL based rendering engine. This rendering engine allows Pro to deliver 2D and 3D data visualization along with spatial analysis that users expect of the top tier GIS application.  The user experience delivered by this rendering engine is incredible, for both 2D and 3D data.

The ArcGIS Pro rendering engine benefits from a shareable GPU that resides on the machine with the hypervisor. We use Nvidia GRID K1 and K2 cards in our test environment. They are designed exclusively for virtualization environments. For a production environment serving many users a normal graphics card won’t do. The K1 and K2 cards have multiple GPUs that can be –shared- by multiple VMs. The sharing is controlled/managed by GRID vGPU profiles. This controls how many VMs share a GPU, the graphics memory available to a VM, and therefore the VM/GPU density.

But the question “can Pro be virtualized successfully?” is often asked.

The answer is an emphatic – Yes.

The great user experience that Pro is becoming known for is attainable in virtualized environments.

We have tested ArcGIS Pro in multiple virtualization environments using our standardized Pro rendering benchmarks across all the platforms. These standardized benchmarks allow us to get a good idea of the user experience that can be expected. It also allows us to optimize Pro for these environments, as well as work with the virtualization vendors to work on their tier of the technology stack. The rendering benchmarks are executed by a Pro add-in that is designed specifically for this task. That add-in also returns and logs key indicators that can be used to help determine user experience. Some of those metrics are:

  • Frames per second (FPS) – the rate at which frames requested by the application are delivered by the underlying rendering pipeline
  • minimum FPS -sign of subtle pausing or jerkiness
  • GPU utilization on the Host – indicator of VM/GPU density
  • GPU memory utilization on the Host – indicator of VM/GPU density

These metrics provide a good sense of the user experience an individual is seeing. The minimum FPS and average FPS when used together can show the fluctuation in frame rate delivery. When minimum FPS and average FPS are relatively close that shows a consistent user experience. When there is frequent and large deltas between those two metrics that is a sign of jerkiness, thus a degraded user experience.

Using this method of testing we have seen a range of performance, scalability and user experience from the virtualization vendors. Keep in mind, delivering a great user experience for a high-end graphics application, in a VDI or application streaming environment, across a wide range of network bandwidths and at great geographic distances is obviously not easy.

In our most recent tests we benchmarked a single VMWare Horizon View VM with Pro. The host had ESXi 6.0, managed from a vSphere Web Client 6.0. During those tests we found VMWare Horizon View delivered a fantastic user experience. The FPS are consistently 25-30+, minimum FPS are in the lower 20′s. More importantly, watching the screen showed smooth fluid rendering and very responsive mouse and keyboard interaction.

On the hypervisor the GPU utilization was averaging ~25% for this demanding rendering test. And GPU memory utilization was ~15%. This gives an indication of the scalability of Pro in this environment, as well as VM/GPU density that the Horizon View platform delivers.

VMWare Horizon View delivered such a great user experience, several testers said it was as good a user experience as that delivered from a physical machine with a discrete GPU.

We will be completing our multiple VM scalability tests of ArcGIS Pro in VMWare Horizon View shortly and will publish a “first look” at those results in another blog.

Virtualization Island at EPC/DevSummit

There is a Virtualization Island at the Esri EPC and Dev Summit this week (March 9 – March 12) in Palm Springs. Stop by and try ArcGIS Pro in VMWare Horizon View, Citrix XenDesktop & XenApp. We can discuss requirements and considerations when virtualizing ArcGIS Pro, as well as our test environment and your production environment.

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Introducing Smart Mapping Tue, 03 Mar 2015 06:15:38 +0000 Mark Harrower Continue reading ]]>

We want to introduce you to Smart Mapping, an exciting new capability built into the March 2015 update to ArcGIS Online. Smart mapping is designed to give people confidence and power to quickly make maps that are visually stunning and useful. This makes it easier than ever for you to create attractive maps, maps that tell important stories. Here’s more about what we added and what you can expect when you try smart mapping.

We added new ways to symbolize your data, ‘smart’ defaults, and data-driven workflows to the ArcGIS Online map viewer. Continuous color ramps and proportional symbols, improved categorical mapping, heat maps, and new ways to use transparency effects to show additional details about your data are all now delivered via a streamlined and updated user interface.

But smart mapping is more than just new kinds of maps (as exciting as those are!). To power this experience, we’ve articulated and then programmed in deep cartographic first principles that become a set of interconnected ‘smart’ defaults that create data-driven workflows.

Unlike ‘dumb’ software defaults that are the same every time, with smart defaults we now offer the right choices at the right time. When we see your data in the map viewer, we analyze it very quickly in a variety of ways so that the choices you see in front of you are driven by the nature of your data, the kind of map you want to create, and the kind of story you want to tell (e.g., I want to show places that are above and below the national average).

The best thematic maps apply thoughtful analysis of the underlying data to a set of map parameters designed to bring focus and clarity to the topic. Here, the author has positioned the handles controlling symbol size (running beside the histogram) to emphasize areas with household incomes over $100,000. Great maps relate the data back to the real world, using visual cues that immediately highlight the message you want to convey.

Our goal is to take the guesswork out of the hundreds of settings and choices so your maps are both cartographically appropriate and look wonderful. Even if you don’t have a degree in cartography or GIS, you’ll still succeed. That means you can work much faster because you spend less time iterating and wrangling your maps into something great.

Given the nature of my data, what are the appropriate ways I can map this? Through the new gallery browser in the map viewer (left side), you can now quickly hone-in on the best ways to represent your data and understand the range of choices.

Critically, we’re not taking control away from map authors or dumbing down the map authoring experience, we’re just being smarter about how we set all of the initial parameters of the map (color, scale, styling, etc.). For example, for each of the Esri basemaps (e.g., Streets, Dark Grey Canvas, Topographic) we have created professional, multi-hue color schemes that can be used as the defaults so that you know your map will look great right out of the box without needing any adjustments. Mapping pros still have full control, we’re simply moving beyond defaults that provide the wrong choices for your data and story.

Advanced transparency effects can now be used to nuance the story your data tells. Here the counties with the highest percent of African-American population emerge clearly, showing complex underlying historical and geographic processes. Further, you can normalize your data at any point in the workflow—e.g., divide one attribute by another to create rates and ratios—which is a critical and often overlooked step in the map authoring process.

Where do I find Smart Mapping?

Within the ArcGIS Online map viewer, you can use smart mapping two ways: (1) if making a new map from a CSV, TXT, of GPX file just drag it into the viewer, or (2) find Change Style in the layer context menu.

    • When you add feature layers that don’t have any styling, such as CSV or SHP files, the map viewer analyzes your data and presents layer styling options in a new Change Style pane.
    • When you add features layers you’ve already styled, the map viewer respects the styling, though you can change this map styling at any time and tap into the new smart mapping workflow. Look for Change Style in the layer context menu.
    • You can create heat maps now when mapping the location of point features! Heat maps use colored areas to represent the density of point features. The colors are most intense where the most points are concentrated together.
    • You can use continuous colors and continuous size, bypassing the complicated step of having to group or classify your data.
    • You can now set the visible range with intuitive sliders when styling your layer. You can also have the map viewer calculate and set the optimal visible range.

We have a series of blog posts planned that will dive deeper into each of the exciting new enhancements around smart mapping. Although it has made its first appearance in the March release, smart mapping isn’t a one-shot effort; it’s a new philosophy and approach that will infuse our work. Stay tuned for more. We’ve just begun.

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Custom Image Processing 2.0 Wed, 25 Feb 2015 23:21:07 +0000 kevin_butler Continue reading ]]> You can now use Python to create your own raster functions in ArcGIS. Previously, this was done in the .NET framework. Python is more accessible for users and allows you to plug into any of the Python libraries, such as SciPy. We’ve created a Github repository where you can learn about our API, download sample functions, contribute your own, and ask questions. The idea is to make this into a community for everyone who is creating custom raster functions for ArcGIS.

Custom functions can be useful for anyone, but they’re especially powerful for the scientific community when working with HDF, Grib, or NetCDF files—what we call multidimensional mosaic datasets. A simple example of what you can do is to derive wind chill from a dataset that contains both wind speed and air temperature. You can also pull individual time slices for visualization and analysis.

There are some caveats, however. Python is not the same as ArcPy so this will not be compatible with geoprocessing models. If you want to know why, ask in the comments (it’s tangential to this topic). Whereas functions are ideal for per-pixel processing, if you want to do something that requires a global analysis, you’re better off with a geoprocessing model.

It’s technically true that anything you can do in Python, you can incorporate into a raster function; however, that doesn’t mean it’s a good idea. You want to stick with NumPy and SciPy for performance reasons because of their ability to handle rasters as an array.

Check out the repository. It has more background information on what a raster function is, and goes into much more detail about how to get started and optimize your custom raster functions. We’re leveling up here, so if you have any questions or need clarification on anything, you can ask questions on this blog or on the repository.

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User Community Content continues to expand The Living Atlas of the World Tue, 24 Feb 2015 17:15:43 +0000 Shane Matthews Continue reading ]]> The ArcGIS Content Team recently completed updates to the World Topographic Map. The data for the World Topographic Map is provided by the GIS community. This map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. Thanks to our users and partners who are supporting Community Basemaps and helping build The Living Atlas of the World.

Topographic Map Updates and Useful Maps and Applications

Our newest contributor in this release is Falls Church, VA (Topo 1:9k to 1:1k).

Just what we like to see, an ArcGIS Online Homepage!

Loaded up with Map Gallery and Open Data sites that leverage not only the Topographic Basemap, but also the Streets, Light Gray Canvas and Imagery Basemaps.

The Falls Church, VA Map Gallery includes a variety of web maps and apps that include topics ranging from Flood Zones, Snow Removal and this Capital Improvements app identifying the capital needs of the community and indicates how these needs will be funded over the 5-year period.

There are several updates in this release including cities and counties in the United States, Canada, Hong Kong and Europe.

Des Moines, IA (Topo 1:9k to 1:1k)

Fairfax County, VA (Topo 1:9k to 1:1k)

Kane County, IL (Topo 1:9k to 1:1k)

Lewis and Clark County, MT (Topo 1:9k to 1:1k)

Loudoun County, VA (Topo 1:9k to 1:1k)

St. John’s, Newfoundland and Labrador, Canada (Topo 1:9k to 1:1k)

In addition to St. John’s, there have been numerous recent updates and new contributors in Canada. Our colleague, Paul Heersink, with Esri Canada has detailed these in two recent blogs, January updates to ArcGIS Online basemaps and A cure for the mid-winter blues: a guided tour of community map updates.

Hong Kong  (Topo 1:577k to 1:1k) – Esri China (HK)

In addition to this World Topographic Map update, Hong Kong in the World Street Map will be refreshed in our next release.

Monaco  (Topo 1:72k to 1:1k) – Esri France

Here’s a list of all the community contributors for this release:

World Topographic Map


Remember that the ArcGIS Content Team is offering training on the Community Maps Data Prep Tools. We have scheduled two additional offerings of the Preparing Data for Community Maps Workshops. If you were not able to attend a previous class, or were not aware that they were available, we highly encourage you to attend one of the upcoming workshops.

Date and Time: Tuesday, February 24th, 2015 at 11:00 am Pacific Standard Time (San Francisco, GMT-08:00)

Workshop URL: Session Information: Preparing Data for Community Maps

Date and Time: Wednesday, March 11th, 2015 at 11:00 am Pacific Standard Time (San Francisco, GMT-08:00)

Workshop URL: Session Information: Preparing Data for Community Maps

These tools provide a simple way for Community Maps contributors to migrate their basemap layers to a format readily accepted by Esri Community Maps, without having to adopt a new data model.

Stay updated on program news, tips and tricks, user success stories, training events, and participant contributions by subscribing to the Community Maps Newsletter. You can have the newsletter sent right to your inbox by subscribing here.

Share your story: How has contributing to the Living Atlas Community benefited your organization? Has your participation helped meet a particular challenge? Email us at so we can promote your success.

Contributions and Feedback

These contributions were made through the Community Maps Program.

For more information visit the Community Maps Program Resource Center.

The service was updated on the following servers: and If you have previously used the World_Topo_Map, you may need to clear your cache in order to see the updates.

If you have feedback on content, try our Topographic Map Feedback web map.

If you have other feedback or comments, please post them to the ArcGIS Discussion Group and the Living Atlas Discussion Group on GeoNet.

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