Using Story Actions you can create links from text in the side or floating panel that will jump to a specific section. This can be useful if you want to create a table of contents, or otherwise want to provide the ability to quickly navigate to a specific section. Here’s how you can use story actions to create links to sections in your Map Journal.

Catholic Carbon Footprint Story Map Map:DataBurhans, Molly A., Cheney, David M., Gerlt, R.. . “PerCapita_CO2_Footprint_InDioceses_FULL”. Scale not given. Version 1.0. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.Map Development: Molly BurhansMethodologyThis is the first global Carbon footprint of the Catholic population. We will continue to improve and develop these data with our research partners over the coming years. While it is helpful, it should also be viewed and used as a "beta" prototype that we and our research partners will build from and improve. The years of carbon data are (2010) and (2015 - SHOWN). The year of Catholic data is 2018. The year of population data is 2016. Care should be taken during future developments to harmonize the years used for catholic, population, and CO2 data.1. Zonal Statistics: Esri Population Data and Dioceses --> Population per dioceses, non Vatican based numbers2. Zonal Statistics: FFDAS and Dioceses and Population dataset --> Mean CO2 per Diocese3. Field Calculation: Population per Diocese and Mean CO2 per diocese --> CO2 per Capita4. Field Calculation: CO2 per Capita * Catholic Population --> Catholic Carbon FootprintAssumption: PerCapita CO2Deriving per-capita CO2 from mean CO2 in a geography assumes that people's footprint accounts for their personal lifestyle and involvement in local business and industries that are contribute CO2. Catholic CO2Assumes that Catholics and non-Catholic have similar CO2 footprints from their lifestyles.Derived from:A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of resultshttp://ffdas.rc.nau.edu/About.htmlRayner et al., JGR, 2010 - The is the first FFDAS paper describing the version 1.0 methods and results published in the Journal of Geophysical Research.Asefi et al., 2014 - This is the paper describing the methods and results of the FFDAS version 2.0 published in the Journal of Geophysical Research.Readme version 2.2 - A simple readme file to assist in using the 10 km x 10 km, hourly gridded Vulcan version 2.2 results.Liu et al., 2017 - A paper exploring the carbon cycle response to the 2015-2016 El Nino through the use of carbon cycle data assimilation with FFDAS as the boundary condition for FFCO2."S. Asefi‐Najafabady P. J. Rayner K. R. Gurney A. McRobert Y. Song K. Coltin J. Huang C. Elvidge K. BaughFirst published: 10 September 2014 https://doi.org/10.1002/2013JD021296 Cited by: 30Link to FFDAS data retrieval and visualization: http://hpcg.purdue.edu/FFDAS/index.phpAbstractHigh‐resolution, global quantification of fossil fuel CO2 emissions is emerging as a critical need in carbon cycle science and climate policy. We build upon a previously developed fossil fuel data assimilation system (FFDAS) for estimating global high‐resolution fossil fuel CO2 emissions. We have improved the underlying observationally based data sources, expanded the approach through treatment of separate emitting sectors including a new pointwise database of global power plants, and extended the results to cover a 1997 to 2010 time series at a spatial resolution of 0.1°. Long‐term trend analysis of the resulting global emissions shows subnational spatial structure in large active economies such as the United States, China, and India. These three countries, in particular, show different long‐term trends and exploration of the trends in nighttime lights, and population reveal a decoupling of population and emissions at the subnational level. Analysis of shorter‐term variations reveals the impact of the 2008–2009 global financial crisis with widespread negative emission anomalies across the U.S. and Europe. We have used a center of mass (CM) calculation as a compact metric to express the time evolution of spatial patterns in fossil fuel CO2 emissions. The global emission CM has moved toward the east and somewhat south between 1997 and 2010, driven by the increase in emissions in China and South Asia over this time period. Analysis at the level of individual countries reveals per capita CO2 emission migration in both Russia and India. The per capita emission CM holds potential as a way to succinctly analyze subnational shifts in carbon intensity over time. Uncertainties are generally lower than the previous version of FFDAS due mainly to an improved nightlight data set."Global Diocesan Boundaries:Burhans, M., Bell, J., Burhans, D., Carmichael, R., Cheney, D., Deaton, M., Emge, T. Gerlt, B., Grayson, J., Herries, J., Keegan, H., Skinner, A., Smith, M., Sousa, C., Trubetskoy, S. “Diocesean Boundaries of the Catholic Church” [Feature Layer]. Scale not given. Version 1.2. Redlands, CA, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2016.Using: ArcGIS. 10.4. Version 10.0. Redlands, CA: Environmental Systems Research Institute, Inc., 2016.Boundary ProvenanceStatistics and Leadership DataCheney, D.M. “Catholic Hierarchy of the World” [Database]. Date Updated: August 2019. Catholic Hierarchy. Using: Paradox. Retrieved from Original Source.Catholic HierarchyAnnuario Pontificio per l’Anno .. Città del Vaticano :Tipografia Poliglotta Vaticana, Multiple Years.The data for these maps was extracted from the gold standard of Church data, the Annuario Pontificio, published yearly by the Vatican. The collection and data development of the Vatican Statistics Office are unknown. GoodLands is not responsible for errors within this data. We encourage people to document and report errant information to us at data@good-lands.org or directly to the Vatican.Additional information about regular changes in bishops and sees comes from a variety of public diocesan and news announcements.GoodLands’ polygon data layers, version 2.0 for global ecclesiastical boundaries of the Roman Catholic Church:Although care has been taken to ensure the accuracy, completeness and reliability of the information provided, due to this being the first developed dataset of global ecclesiastical boundaries curated from many sources it may have a higher margin of error than established geopolitical administrative boundary maps. Boundaries need to be verified with appropriate Ecclesiastical Leadership. The current information is subject to change without notice. No parties involved with the creation of this data are liable for indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information. We referenced 1960 sources to build our global datasets of ecclesiastical jurisdictions. Often, they were isolated images of dioceses, historical documents and information about parishes that were cross checked. These sources can be viewed here:https://docs.google.com/spreadsheets/d/11ANlH1S_aYJOyz4TtG0HHgz0OLxnOvXLHMt4FVOS85Q/edit#gid=0To learn more or contact us please visit: https://good-lands.org/Esri Gridded Population Data 2016DescriptionThis layer is a global estimate of human population for 2016. Esri created this estimate by modeling a footprint of where people live as a dasymetric settlement likelihood surface, and then assigned 2016 population estimates stored on polygons of the finest level of geography available onto the settlement surface. Where people live means where their homes are, as in where people sleep most of the time, and this is opposed to where they work. Another way to think of this estimate is a night-time estimate, as opposed to a day-time estimate.Knowledge of population distribution helps us understand how humans affect the natural world and how natural events such as storms and earthquakes, and other phenomena affect humans. This layer represents the footprint of where people live, and how many people live there.Dataset SummaryEach cell in this layer has an integer value with the estimated number of people likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Population Density Estimate 2016: this layer is represented as population density in units of persons per square kilometer.World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: http://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is unsuitable for mapping or cartographic use, and thus it does not include a convenient legend. Instead, this layer is useful for analysis, particularly for estimating counts of people living within watersheds, coastal areas, and other areas that do not have standard boundaries. Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the count of population within those zones. https://www.esri.com/arcgis-blog/products/arcgis-living-atlas/data-management/2016-world-population-estimate-services-are-now-available/

Understanding natural and human systems is an essential first step toward reducing the severity of climate change and adapting to a warmer future. Maps and geographic information systems are the primary tools by which scientists, policymakers, planners, and activists visualize and understand our rapidly changing world. Spatial information informs decisions about how to build a better future. This Story Map Journal was created by Esri's story maps team. For more information on story maps, visit storymaps.arcgis.com.

The world is a crowded place, with more than 7 billion people on the planet as of 2014. About half of this population lives in urban areas, and ongoing migration into city centers has given rise to the megacity—a metropolitan area with 10 million people or more. This story map was produced by Esri's story map team. It is a customization of the Esri Story Map Journal app, and was created in collaboration with the Smithsonian Institution. This story map was also published on Smithsonian.com:https://www.smithsonianmag.com/science-nature/make-cities-explode-size-these-interactive-maps-180952832/

Presentation to the mid-term conference of the Canadian Historical GIS Partnership, June 20th 2016, discussing geovisualization techniques available in ArcGIS Online and Portal for ArcGIS and how they can be used for historical research. Topics included:Interactive map viewerSmart Mapping (demo)Time-enabled Web mapsConfigurable Web apps (including Time Aware)Story Map templates: Journal, Swipe, Tour, and Cascade (with hyperlinked examples)Combining configurable apps and Story Maps

This story map journal highlights some apps, web maps, and databases to understand and prepare for extreme heat. Some of the apps contained in this story map are:

This report of the work undertaken by the Energy Infrastructure and Modeling and Analysis Division ( EIMA ) of the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability (OE) assesses the potential sea level rise and storm surge risks to energy assets in the Metropolitan Statistical Area (MSA) of specific cities in the United States. Here's the DOE article about the report which also links to the story map: https://energy.gov/oe/articles/visualizing-energy-infrastructure-exposure-storm-surge-and-sea-level-riseFor author information and the view count for this story map, please see the entry for it: https://www.arcgis.com/home/item.html?id=58f90c5a5b5f4f94aaff93211c45e4ecThis story map was created by ICF International ( Contact Kevin Wright ): http://www.icfi.com/services/it-solutions/geospatial-solutions-gis

This story map presents a series of maps showing humankind's profound effects on Earth's natural systems, and spotlights a selection of efforts by U.S. cities to improve sustainability. The story map uses the Esri Story Map Journal app, and was produced by Esri in collaboration with the Smithsonian Institution. The story also appears on the Smithsonian website. "The Age of Humans" includes data from several organizations, including Wildlife Conservation Society (human footprint), University of Minnesota Center on the Environment (agriculture) World Resources Institute (forests), Conservation International (biodiversity hot spots), and IUCN (protected areas). For more information on Esri Story Map apps, visit storymaps.arcgis.com.

This application is a configuration of the Story Map Journal for Daily Situational Awareness Briefing purposes. It contains the web maps for various weather events that are used in application for the Esri Disaster Response Program.

The Los Angeles Clean Streets Index, the first-of-its-kind, is a grading system of every street in Los Angeles. The Bureau of Sanitation drove and scored over 9,000 miles of streets and alleys - each segment received a "cleanliness score" from 1-3. Each street score is based on four factors: litter, weeds, bulky items and illegal dumping. This assessment will be repeated every quarter. Los Angeles is leading the way as the only big city in the US conducting a regular cleanliness assessment of every City street. Click on the links to view the Los Angeles Clean Streets Index:MapMinimalist App of Streets IndexStory Map of the Clean Streets Initiative**This application uses the Map Journal Story Map template (more information here). For more information about building Story Maps, click here.

The United States Geological Survey has published "An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems" in Global Ecology and Conservation Journal. This work was produced by a team led by Roger Sayre, Ph.D., Senior Scientist for Ecosytems at the USGS Land Change Science Program with the support from The Nature Conservancy and Esri. We described this work using two introduction story maps, Introduction to World Ecosystems Map and Introduction to World Climate Regions Map. This story map is an introduction for World Climate Regions Map. You can have more information by accessing the published paper and you can access the dataset by downloading the pro package.

Kingston's Waterfront Master Plan is intended to be a guiding document that organizes and prioritizes a plan for the renewal of public waterfront spaces as well as the improvement of access and the creation of a fully connected public waterfront. For the purposes of the project, Kingston's waterfront has been divided into six focus areas, each with their own unique characteristics. This map service supports the 'Focus Area Overview' story map journal, which contains a series of interactive maps designed to give the user a sense of where the various focus areas are located across the city, and details on the design workshops scheduled for each. Be sure to check out the final map to see photos submitted by you of Kingston's waterfront!For more information on the City of Kingston's Waterfront Master Plan project, see https://www.cityofkingston.ca/city-hall/projects-construction/waterfront-master-plan.

The file geodatabase (fgdb) contains the Sea, Lake, and Overland Surge from Hurricanes (SLOSH) Maximum of Maximums (MOM) model for hurricane categories 2 and 4. The EPA Office of Research & Development (ORD) modified the original model from NOAA to fit the model parameters for the Buzzards Bay region. The models show storm surge extent for the Mattapoisett area and therefore the flooding area was reduced to the study area. Areas of flooding that were not connected to the main water body were removed. The files in the geodatabase are: Cat2_SLR0_Int_Feet_dissolve_Mattapoisett: Current Category 2 hurricane with 0 ft sea level rise Cat4_SLR0_Int_Feet_dissolve_Mattapoisett: Current Category 4 hurricane with 0 ft sea level rise Cat4_SLR4_Int_Feet_dissolve_Mattapoisett: Future Category 4 hurricane with 4 feet sea level rise The features support the Weather Ready Mattapoisett story map, which can be accessed via the following link: https://epa.maps.arcgis.com/apps/MapJournal/index.html?appid=1ff4f1d28a254cb689334799d94b74e2

In celebration of the tremendous diversity of tree species that tell the story of our culture and history, the NCC released in September 2020 a compilation of close to 170 remarkable trees across Canada’s Capital region entitled A Living Legacy: Remarkable Trees of Canada’s Capital. An interactive map and downloadable book are available for free on the NCC’s website and will allow the public to discover distinctive features of these trees, revealing a story of the beauty of our natural heritage through the rich diversity of species thriving within Canada’s Capital. This compilation features trees according to their commonalities, which can include their physical relationship with the land, the fact that they were a source of food for Indigenous peoples, or for their contribution to the forest industry. https://ncc-ccn.gc.ca/remarkable-trees https://ncc-ccn.maps.arcgis.com/apps/MapJournal/index.html?appid=a9ba98fb7e8b4c2ba9be337235b95291

PurposeThis web mapping story includes maps and situational data, including web links and videos, for the flash flooding that occurred in Union County, NC August 19th 2015.Audience Union County citizens, NCDOT officials, and others interested in flash flooding incidents.Data SourcesSocial Vulnerability Index (SoVI) layer from ArcGIS 2009 layer. Intended to show levels of sensitivity of populations to emergency situationsVulnerable roadways and structures - data from Homeland Infrastructure Foundation Level-Data (HIFLD) and analyzed within ArcGIS for Desktop Narrative and image sources - From Local Charlotte area news stations and papershttp://www.fox46charlotte.com/news/43705738-videohttp://weatheralerts.alertblogger.com/?p=21060http://www.wbtv.com/story/29829992/flooding-in-union-co-leaves-cars-stuck-in-ditchhttp://www.charlotteobserver.com/news/local/article31574678.html

This Story Map Journal features "repeat photography" studies of glaciers in southern Alaska conducted by the U.S. Geological Survey. For more information, visit the USGS website.

El siguiente Story Map Journal representa la historia geológica de Puerto Rico, es decir los diferentes procesos geológicos que impulsaron su formación al igual que sus diversas zonas fisiográficas y sus diferentes tipos de rocas y depósitos. El proyecto fue creado para propósitos pedagógicos, por ende busca enseñar de manera digital e interactiva la geología de Puerto Rico. A consecuencia, se tuvo en consideración los Estándares de Contenido y Expectativas de Grado en Puerto Rico del Programa de Ciencias bajo el área de Ciencias de la Tierra y Espacio y los estándares de Estructura y niveles de organización de la materia, Conservación y cambio para estudiantes de Cuarto Grado. Asimismo, se tiene como expectativa el dominio de los siguientes temas: Los materiales y sistemas de la TierraPlacas tectónicas e interacciones de sistemas a gran escalaFormación de relieve en Puerto RicoDe igual forma, pretende que el/la estudiante:Describa algunas formas y tipos de relieve en Puerto RicoReconozca, describa y explique la relación entre los diferentes tipos de relieve en Puerto Rico y sus ecosistemas.Diferencia entre las rocas en ígneas, metamórficas y sedimentariasPor otra parte, para generar el siguiente proyecto se utilizaron diversas fuentes de información, entre ellas algunos textos, bases de datos, imágenes y vídeos los cuales posibilitaron la creación de este Story Map Journal. En el caso de los mapas aquí publicados, se utilizaron principalmente los datos y manuscritos del Servicio Geológico de los Estados Unidos (U.S. Geological Survey, USGS), una entidad científica a nivel federal de los Estados Unidos la cual provee la mayoría de la información geológica de Puerto Rico. Además, para facilitar el proceso de enseñanza de los/as maestros/as, se creo una guía con una serie de instrucciones para el mejor uso del Story Map Journal. Para accesar el documento, pulse el siguiente link: https://s3.amazonaws.com/repositoriogmt/recursos/atlaspr/Instrucciones+de+Uso+del+Map+Journal+Geologia+de+PR.pdfTextos: Estándares de Contenido y Expectativas de Grado en Puerto Rico, Programa de Ciencias (julio 2014), E.L.A de Puerto Rico, Departamento de Educación. Geology,Geochemistry, Geophysics, Mineral Occurences, and Mineral Resource Assessment for the Commonwealth of Puerto Rico. U.G. Geological Survey Minerals Team,Puerto Rico Department of Natural Resources, University of Puerto Rico, Mayagüez Campus. Edited by Walter J. Bawiec.Some Tropical Landforms of Puerto Rico, Geological Survey Professional Paper 1159, United States Government Printing Office, Washington: 1980.Tarbuck, Edward J., Lutgens, Frederick K. & Tasa, Dennis. Ciencias de la Tierra: Una introducción a la geografía física (8va edición), Traducción por AMR Traducciones científicas, Pearson Education S. A., Madrid, 2005. Mapas:EsriUKedteam. Volcanoes and Plate Boundaries. http://www.arcgis.com/home/webscene/viewer.html?webscene=3df3f177066d45fd8eaa2d87e7bf4225&viewpoint=cam:143.12816226,-44.97840908,25512548;356.342,0.1Imágenes:Burgos, Ernesto. Bosque Seco de Guánica. Flickr - Photo Sharing. https://www.flickr.com/photos/69332915@N07/8994211373 Ciencias Naturales: Recursos para el estudio de la Ciencias y las Ciencias Naturales. Movimiento de Fallas. http://www.areaciencias.com/geologia/placas-tectonicas.htmlEncyclopedia Britannica Kids. Escala de tiempo geológico. http://kids.britannica.com/comptons/art-107857/The-geologic-time-scale-showing-major-evolutionary-events-from-650Enciclopediapr. Los tres picachos. http://www.enciclopediapr.org/esp/article.cfm?ref=09033002El Yunque. Bosque Lluvioso. http://odstatic.com/canalviajes.com/yunque3.jpgPrfrogui. Arroyo. http://www.prfrogui.com/home/arroyopueblo.htmSobre Caribe. Cavernas de Camuy. http://sobrecaribe.com/wp-content/uploads/2009/05/cuevas-camuy.jpgTarbuck, Edward J., Lutgens, Frederick K. & Tasa, Dennis. Ciencias de la Tierra: Una introducción a la geografía física (8va edición). Ciclo de rocas. Página 27.Vídeos: BBC film, Earth: The Power of the Planet. https://www.youtube.com/watch?v=ryrXAGY1dmE&feature=youtu.beThe Geologic Society. Plate Tectonics. Oceanic/Oceanic: The Caribbean Islands. http://www.geolsoc.org.uk/Plate-Tectonics/Chap3-Plate-Margins/Convergent/Oceanic-oceanic-collisionAutores y Colaboradores:Pedro G. NievesGerardo Rosa BauzáGlenda RománAmira YassinUnited States Geological Survey (USGS)

Welcome to Conservation Halton's platform for exploring and downloading open data, discovering web apps, and engaging communities to solve important local issues. [Conservation Halton]

This supporting web map only shows the Special use Areas (SUAs) for the sanctuary. It is used inside a Story Map. This 2017 data utilizes only the ALT 1 marine zones with the National Wildlife Refuges filtered out (outlined in brown on the legend) from the Existing Management Areas and the Area To Be Avoided is not shown on the map.Data links:YouTube video - Special - use Areas: https://youtu.be/KMRXQOWGm_I

Sanctuary Regulations: http://floridakeys.noaa.gov/zones/welcome.html?s=zones

Florida Keys National Marine Sanctuary Homepage: http://floridakeys.noaa.gov/welcome.html

Outline of marine zones inside the Sanctuary (KMZ file): http://floridakeys.noaa.gov/fknms_map/FKNMS_Marine_Zones.kmz

URL to "Exploring Sanctuary Zones and Regulations" Story Map: https://noaa.maps.arcgis.com/apps/MapJournal/index.html?appid=5d5868f80cdb4b4c80e54ac47a0bf069Outline of marine zones inside the Sanctuary (public feature layer): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/FKNMS_existingzones/FeatureServer

This supporting web map shows only the Existing Management Areas (EMAs) and no other zones. It is included in a Story Map (link below). This 2017 data utilizes only the ALT 1 marine zones with the National Wildlife Refuges filtered out (outlined in brown on the legend) from the Existing Management Areas and the Area To Be Avoided is not shown on the map.Data links:YouTube video- Existing Management Areas: https://youtu.be/t1hFHdq3pTs

Sanctuary Regulations: http://floridakeys.noaa.gov/zones/welcome.html?s=zones

Florida Keys National Marine Sanctuary Homepage: http://floridakeys.noaa.gov/welcome.html

Outline of marine zones inside the Sanctuary (KMZ file): http://floridakeys.noaa.gov/fknms_map/FKNMS_Marine_Zones.kmz

URL to "Exploring Sanctuary Zones and Regulations" Story Map: https://noaa.maps.arcgis.com/apps/MapJournal/index.html?appid=5d5868f80cdb4b4c80e54ac47a0bf069Outline of marine zones inside the Sanctuary (public feature layer): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/FKNMS_existingzones/FeatureServer