Baton Rouge's unique past has shaped the city that we live in today. The layout of the city's streets, the arrangement of prominent government and religious structures, the clustering of businesses, the distribution of residential neighborhoods, and the placement of parks and schools all speak to the long term processes of urban growth. Society invests tremendous effort in creating its urban centers and citizens develop attachments to those places. It is the investment of human effort that stimulates a sense of place and allows individuals to develop strong feelings about their home city. Sense of place is constantly reinforced by contact with the common, everyday landscapes that surround us. In Baton Rouge, the two principal university campuses, the state government complex, along with various historic neighborhoods and structures all stand as perpetual reminders of the city's past. Many familiar and, at the same time, unique landscape features of Baton Rouge shape our sense of place. Much has been written about the distinctive buildings that come to mind when Baton Rouge is mentioned, but what of the larger districts and neighborhoods? Residents generally are most familiar with their immediate surroundings or those places where they work and play and these surroundings ofter constitute more than a building or two. Children comprehend their immediate neighborhoods and those who move about a city come to know and develop ideas about the city's larger units. Geographers and planners like to think of cities in terms of these larger assemblages

This Story Map is designed to help teachers to create a web application that is similar to the National Geographic Map Maker app.This application is made with the Atlas ArrcGIS Online Instant App TemplateNo audio is included in any of the videos in this StoryMap

To create this app:

This is the StoryMap Map Series Builder (currently in Extended Support). Configuring this app allows you to edit the tabs across the top of the SMNR Portal with the thematic data. This does not allow you to edit the map and/or widgets.

First, let's gather our content:Go to your Google Drive folder and locate the folder named: Water Quality StoryMap and download this folder. 2. Go to: https://storymaps.arcgis.com/

This interactive map features Downtown Montgomery's diverse, delightful, engaging and uniquely profound public places.

This web map runs the Public Art Story Map

You've now produced some maps and instant apps that you want to use to help tell the story of the first night of The Blitz. In this exercise, you are going to learn the basics of StoryMaps and how to add the maps and apps you've created to a StoryMap.In this exercise you will:Create a new StoryMapChange the theme of this StoryMap and turn on navigation so readers can use headers to jump to sections of the StoryMapCreate a Sidecar Map Tour that will show your key events on the first night of The Blitz mapEmbed the Time Slider Instant App and Pop-Up Map Instant App you created in your StoryMapAdd your Hex Map showing the intensity of the bombing across London on the first night of the Blitz to your StoryMap

This collection of images depict Boston, Massachusetts, with particular emphasis on Dorchester Avenue. Some of the images contain photographs of the area, while others detail Dorchester Avenue's history using a timeline. The images are associated with chapters 1 through 4 of the PLAN South Boston Dorchester Avenue report, which contains the history, current conditions, outreach initiatives, goals, and objectives of a proposed plan to create a new mixed-use urban district in Boston, Massachusetts.These images are intended for use in the Storify a planning report tutorial, which details the process of creating a story in ArcGIS StoryMaps for the plan. The story includes maps and a scene that showcase the proposed district. The plan itself was created by the Boston Planning & Development Agency (BPDA).

You have uploaded your spreadsheet data as point data to ArcGIS Online and opened it in the map viewer. Now, you need to start creating the maps for your StoryMap. In this exercise, you will create the first map to include in your StoryMap. This map will feature animated symbology to highlight key events from the first night of The Blitz and create a map tour similar to the key events map tour in the 'Black Saturday' - Beginning of The Blitz StoryMap.In this exercise you will:Change the symbology of the bombing data from 7th September 1940 so it is animated Create layers that can be used to show only specific bomb events (this is so you can highlight these in your story map later)Explore the Living Atlas and ArcGIS Online to find a basemap produced closer to the time the first night of The Blitz took place

The dataset presents a list of laboratories set up in the humanities, digital humanities, and media studies within universities across the world in 1983-2018. The data are collected and organized in an interactive map designed in the digital StoryMapJS tool, creating a valuable visible representation of the laboratory concept from a geographical and historical perspective. Based on the interactive map, I analyze the history of the laboratory in the humanities within a global context from the 1980s to 2018. The dataset includes 214 laboratories.

Data collection

I identified laboratories by using different resources such as universities’ websites, articles, and research projects. Besides, I sent a questionnaire to the most relevant networks in October 2018 to identify even more labs created in (digital) humanities and media studies at universities.

Data organization

I collected data about each lab based on its website and other resources. I extracted the following data: year established, year ended (if applicable), lab’s name, university, city, country, affiliation and location (if provided), disciplines and keywords (based on labs’ statements and projects and aiming to situate a lab), selected projects (if provided), purpose (a short quotation of a lab’s statement published on its website), website, and geographical latitude and longitude. I organized all the data in chronological order according to year established in Google Sheets. Next, I used StoryMapJS, a free tool designed by the Northwestern University’s Knight Lab, to map my data.

ArcGIS Online is a cloud-based mapping and analysis solution. Use it to make maps, analyze data, and to share and collaborate. ... Your data and maps are stored in a secure and private infrastructure.

This StoryMap tells the story of the establishment of Tucson Mountain Park, one of the largest natural resource areas owned and managed by a local government in the United States. The story features park history, visitor information, and an embedded interactive trail mapping application developed in ArcGIS Experience Builder.Edie Price, Pima County Conservation Lands & Resources contributed to the development of this StoryMap. Other story and image credits are included in the StoryMap.

Open the Data Resource: https://cicgis.org/portal/apps/storymaps/stories/b519e88ccc8c4c4c8d4c870f64e210ed Forest conservation and tree planting are central strategies to achieve the goals laid out in the 2014 Chesapeake Bay Watershed Agreement and are reinforced in many parts of the Maryland legal code. To monitor forest and tree canopy cover status and progress toward its commitments, the Maryland General Assembly enacted legislation (House Bill 991) in 2021 requiring a Technical Study of Changes in Maryland’s Forest Cover and Tree Canopy. The Maryland Forest Technical Study Story Map presents the results of this study, which improves Maryland’s statewide inventory of forest and tree canopy cover, assesses near and long-term change and assesses the effectiveness of forest and tree programs operating in the state. Notably, this study makes use of a newly released, innovative, very high-resolution (1-m) land use and land cover dataset for the Chesapeake Bay watershed, used for the first time to monitor individual trees within and outside forests across Maryland. This is complemented by moderate-resolution satellite imagery, ground observations and other research to generate insights on the status of tree canopy cover in the state.

A reverse-engineering of the methods and color palette used by renown Swiss relief painter Eduard Imhof, toward the goal of creating a digital homage for modern cartographers. Links are provided in this Cascade Story Map to an ArcGIS Pro style resource and project package. Cartographers are invited to get the scoop on the aesthetic technique then start cranking out glorious hillshade maps of their own.This story map provides links to an ArcGIS Pro project package with the requisite layers and style ready to go, just pan and zoom around!Happy Mountain Mapping! John Nelson

Every day 1.3 million people live, work, study, do business, shop and go out in our local area. All of these people have an interest in the future of Sydney and can have their say on this plan.Creating places for people to meet benefits business and community life. While 2050 may seem a long time away, we need to plan now if we are to meet the ongoing and future needs of our communities. More information on planning for Sydney 2050.

Cities in the U.S. are getting hotter, and that is causing significant health risks, especially to minorities, the elderly, and impoverished. There is significant spatial variation in temperature across a city due to changes in the landscape (elevation, tree cover, development, etc). NOAA has been engaged in a nationwide effort with CAPA Strategies to use a combination of Sentinel-2 satellite data along with temperature readings recorded from car- and bike-mounted sensors to generate detailed maps of the urban areas most impacted by heat. These measurements have been combined into single raster layers for morning, afternoon, and evening temperatures. As of 2020, 27 cities (26 in the U.S) have been mapped; a total of 50 cities will be mapped by the end of 2021. This layer shows the census tract (neighborhood) averages for those temperatures, along with additional information calculated for each neighborhood including:Temperature anomaly (neighborhood temperature compared to the citywide average based on the CAPA data)Impervious surfaceTree coverDemographicsTotal populationPopulation <5Population >65MinorityMedian incomePovertyCombining these different types of information can help planners identify areas at risk and help to develop mitigation and resilience plans to improve urban living conditions. More information about the campaign can be found in this Story Map by NOAA.

Soil is the foundation of life on earth. More living things by weight live in the soil than upon it. It determines what crops we can grow, what structures we can build, what forests can take root.This layer contains the physical soil variable percent clay (clay).Within the subset of soil that is smaller than 2mm in size, also known as the fine earth portion, clay is defined as particles that are smaller than 0.002mm, making them only visible in an electron microscope. Clay soils contain low amounts of air, and water drains through them very slowly.This layer is a general, medium scale global predictive soil layer suitable for global mapping and decision support. In many places samples of soils do not exist so this map represents a prediction of what is most likely in that location. The predictions are made in six depth ranges by soilgrids.org, funded by ISRIC based in Wageningen, Netherlands.Each 250m pixel contains a value predicted for that area by soilgrids.org from best available data worldwide. Data for percent clay are provided at six depth ranges from the surface to 2 meters below the surface. Each variable and depth range may be accessed in the layer's multidimensional properties.Dataset SummaryPhenomenon Mapped: Proportion of clay particles (< 0.002 mm) in the fine earth fraction in g/100g (%)Cell Size: 250 metersPixel Type: 32 bit float, converted from online data that is 16 Bit Unsigned IntegerCoordinate System: Web Mercator Auxiliary Sphere, projected via nearest neighbor from goode's homolosine land (250m)Extent: World land area except AntarcticaVisible Scale: All scales are visibleNumber of Columns and Rows: 160300, 100498Source: Soilgrids.orgPublication Date: May 2020Data from the soilgrids.org mean predictions for clay were used to create this layer. You may access the percent clay in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.Mean depth (cm)Actual depth range of data-2.50-5cm depth range-105-15cm depth range-22.515-30cm depth range-4530-60cm depth range-8060-100cm depth range-150100-200cm depth rangeWhat can you do with this Layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map: In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "world soils soilgrids" in the search box and browse to the layer. Select the layer then click Add to Map. In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "world soils soilgrids" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.More information about soilgrids layersAnswers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.This multidimensional soil collection serves the mean or expected value for each soil variable as calculated by soilgrids.org. For all other distributions of the soil variable, be sure to download the data directly from soilgrids.org. The data are available in VRT format and may be converted to other image formats within ArcGIS Pro.Accessing this layer's companion uncertainty layerBecause data quality varies worldwide, the uncertainty of the predicted value varies worldwide. A companion uncertainty layer exists for this layer which you can use to qualify the values you see in this map for analysis. Choose a variable and depth in the multidimensional settings of your map client to access the companion uncertainty layer.

The map displays examples from across the country of different organizations using MarineCadastre.gov data and products to meet their specific needs. A broad range of uses are covered, including evaluating impacts of offshore energy on navigation safety, researching how noise from large commercial vessels may affect marine mammals, and creating maps of proposed wave energy projects. Access to these data is provided by MarineCadastre.gov, a joint Bureau of Ocean Energy Management and National Oceanic and Atmospheric Administration initiative providing authoritative data to meet the needs of the offshore energy and marine planning communities.

General Accessibility Creative Commons All data products available from the data hub are provided on an 'as is' basis. The City of Sydney (City) makes no warranty, representation or guarantee of any type as to any errors and omissions, or as to the content, accuracy, timeliness, completeness or fitness for any particular purpose or use of any data product available from the data hub. If you find any information that you believe may be inaccurate, please email the City. In addition, please note that the data products available from the data hub are not intended to constitute advice and must not be used as a substitute for professional advice. The City may modify the data products available from the data hub and/or discontinue providing any or all of data products at any time and for any reason, without notice. Accordingly, the City recommends that you regularly check the data hub to ensure that the latest version of data products is used. The City recommends that when accessing data sets, you use APIs. We are committed to making our website as accessible and user-friendly as possible. Web Content Accessibility Guidelines (WCAG) cover a wide set of recommendations to make websites accessible. For more information on WCAG please visit https://www.w3.org/TR/WCAG21/ . This site is built using Esri's ArcGIS Hubs template, and their Accessibility status report is available online at https://hub.arcgis.com/pages/a11y. We create the maps and stories on this site using ArcGIS templates, each template having accessibility features. Examples include Instant Apps, Story maps, and Webapp builder. If you would like to request alternative formats for data products on this site please email the City. We encourage developers using our data to deliver maps and applications with consideration to accessibility for all. Design elements can include colour, contrast, symbol size and style, font size and style, basemap style, alternate text for images, and captions for video and audio. Alternative content such as static maps may sometimes be required. Unless otherwise stated, data products available from the data hub are published under Creative Commons licences. Creative Commons licences include terms and conditions about how licensed data products may be used, shared and/or adapted. Depending on the applicable licence, licensed data products may or may not be used for commercial purposes. The applicable Creative Commons licence for specific data is specified in the "Licence" section of the data description. By accessing, sharing and/or adapting licensed data products, you are deemed to have accepted the terms and conditions of the applicable Creative Common licence. For more information about Creative Commons licences, please visit https://creativecommons.org.au/ and https://creativecommons.org/faq/ If you believe that the applicable Creative Commons licence for the data product that you wish to use is overly restrictive for how you would like to use the data product, please email the City. Contact If you have a question, comments, or requests for interactive maps and data, we would love to hear from you. Council business For information on rates, development applications, strategies, reports and other council business, see the City of Sydney's main website.