Spatial data from Schulp et al., 2014. Uncertainties in ecosystem service maps: A comparison on the European scale. PloS ONE 9, e109643. Safeguarding the benefits that ecosystems provide to society is increasingly included as a target in international policies. To support such policies, ecosystem service maps are made. However, there is little attention for the accuracy of these maps. We made a systematic review and quantitative comparison of ecosystem service maps on the European scale to generate insights in the uncertainty of ecosystem service maps and discuss the possibilities for quantitative validation. This data package contains maps of the ecosystem services climate regulation, erosion protection, flood regulation, pollination, and recreation. For each service, a map of the average supply according to all analyzed maps is included, as well as a map of the uncertainty of the service. The data package contains a detailed read-me.

The Urban Observatory Compare app shows maps of the same subject for three cities, in a side by side comparison view. The app allows quick visual comparisons of the patterns at work in cities around the world.The app allows people to interact with rich datasets for each city. People can use the Urban Observatory web application to easily compare cities by using a simple web browser. As a user zooms in to one digital city map, other city maps will zoom in parallel, revealing similarities and differences in density and distribution. For instance, a person can simultaneously view traffic density for Abu Dhabi and Paris or simultaneously view vegetation in London and Tokyo.The Urban Observatory is brought to you by Richard Saul Wurman, creator of Technology/Entertainment/Design (TED) and 19.20.21; Jon Kamen of the Academy Award-, Emmy Award-, and Golden Globe Award-winning film company @radical.media; and Esri president Jack Dangermond. "A map is a pattern made understandable, and patterns must be compared to understand successes, failures, and opportunities of our global cities," says Wurman. "The Urban Observatory demonstrates this new paradigm, using cartographic language and constructive data display. People and cities can use maps as a common language," said Wurman. The application utilizes Esri's ArcGIS API for JavaScript. Once a web map is created, it is added to a group and tagged to indicated its city and subject information. Those tags are read by the application as it starts up in the browser.

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Use the Compare template to choose between two comparison modes to compare multiple maps at the same location or compare multiple locations of the same map. This app supports up to 4 maps, scenes, or a combination of both. Import bookmarks or slides, or create locations manually to compare areas of the same map or scene. The views can be synced while using the app. Examples: Visualize variables like housing cost, homeownership, and median income to understand housing affordability within a city. Determine impending risks of sea level rise for different coastal cities. Explore and analyze city zoning data by comparing 2D and 3D views of the information. Data requirements This app has no data requirements. Key app capabilities Choose a comparison method - Choose Multiple maps to select up to four maps or scenes to allow users to compare, or choose Single map to select a map or scene to compare locations on the map or scene. Compare layout - Choose a side-by-side or stacked layout. Layouts with four maps or locations use a quadrant layout. Define locations to compare - Import bookmarks and slides or add locations for users to compare. Synchronize maps - Enable to ensure each map pans and zooms in sync as users navigate within one of them. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

This data base includes the TIF files to comapre the accuracy of flood maps generated by AutoRoute software and a FIER flood map

The Census Bureau (https://www.census.gov/) maintains census tract geographic boundaries for the analysis and mapping of demographic information across the United States. Every 10 years the Census Bureau provides opportunity to local government to review and update statistical areas boundary including census tract geography through Participants Statistical Areas Program (PSAP). Los Angeles County actively participated in PSAP program of 2010 and 2020 census and submit the update of census tract boundaries. There are little more Census Tracts within Los Angeles County in 2020 Census TIGER/Line Shapefiles, compared to 2010. The Census Bureau releases the results of census counts at different census geography including census tracts. This web map is crated to visualize the similarities and differences between Los Angeles County's 2010 and 2020 census tracts.

Author: J Trygestad, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 4Resource type: lessonSubject topic(s): regional geography, mapsRegion: north americaStandards: Minnesota Social Studies Standards

Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.

Standard 2. Historical inquiry is a process in which multiple sources and different kinds of historical evidence are analyzed to draw conclusions about how and why things happened in the past.Objectives: Students will be able to:

1. Compare and contrast the development of the U.S. and Canada by identifying states and provinces over time.
2. Differentiate territories from states and provinces.Summary: Students will work with a partner to make and compare maps of states and provinces of the U.S. and Canada from 1775 to the present.

Background To support the positional cloning of the mouse mutation wobbler (wr) the corresponding regions on human Chr2p13-14 and mouse Chr11 were analyzed in detail and compared with respect to gene content, order, and orientation. Results The gene content of the investigated regions was highly conserved between the two species: 20 orthologous genes were identified on our BAC/YAC contig comprising 4.5 Mb between REL/Rel and RAB1A/Rab1a. Exceptions were pseudogenes ELP and PX19 whose mouse counterparts were not located within the analyzed region. Two independently isolated genomic clones indicate an inversion between man and mouse with the inverted segment being identical to the wobbler critical interval. We investigated the wobbler critical region by extensive STS/EST mapping and genomic sequencing. Additionally, the full-length cDNA sequences of four newly mapped genes as well as the previously mapped gene Otx1 were established and subjected to mutation analysis. Our data indicate that all genes in the wr critical region have been identified. Conclusion Unexpectedly, neither mutation analysis of cDNAs nor levels of mRNAs indicated which of the candidate genes might be affected by the wr mutation. The possibility arises that there might be hitherto unknown effects of mutations, in addition to structural changes of the mRNA or regulatory abnormalities.

MapViewer is a graphical tool for viewing and comparing Gossypium spp. genetic maps. It includes dynamically scrollable maps, correspondence matrices, dot plots, links to details about map features, and exporting functionality. It was developed by the MainLab at Washington State University and is available for download for use in other Tripal databases. The query interface allows the user to select Species, Map, and Linkage Group options. Help information includes a video tutorial, user manual, and sample map, correspondence matrix, dot plot, and exported figures. Resources in this dataset:Resource Title: Website Pointer for CottonGen Map Viewer. File Name: Web Page, url: https://www.cottongen.org/MapViewer MapViewer is a graphical tool for viewing and comparing Gossypium spp. genetic maps. It includes dynamically scrollable maps, correspondence matrices, dot plots, links to details about map features, and exporting functionality. It was developed by the MainLab at Washington State University and is available for download for use in other Tripal databases. The query interface allows the user to select Species, Map, and Linkage Group options. Help information includes a video tutorial, user manual, and sample map, correspondence matrix, dot plot, and exported figures.

Historical reconstructions of land-use/cover change often require comparing maps derived from different sources. The objective of this study was to measure land-use/cover changes over the last 225 years at the scale of a Belgian landscape, Lierneux in Ardennes, on the basis of a heterogeneous time series of land cover data. The comparability between the land-cover maps was increased following a method of data integration by map generalisation. Two types of time series were built by integrating the maps either by reference to the initial map of the time series or by pair of successive maps. Land-cover change detection was performed on the initial time series without data integration and on the two types of integrated time series. Results reveal that land cover and landscape structure have been subject to profound changes in Lierneux since 1775, with an annual rate of change at the landscape level of up to 1.40%. The major land-cover change processes observed are expansion of grasslands-croplands and reforestation with coniferous species, leading to amore fragmented landscape structure. The annual rates of land-cover change estimated from integrated data are significantly different from the annual rates of change estimated without a prior integration of the data. There is a trade-off between going as far back in time as possibleversus performing change detection as accurately as possible.

A collection of 6 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

This collection contains the group-level results for model comparison described in the paper `BLMM: Parallelised Computing for Big Linear Mixed Models'. This analysis used 4922 images from the faces vs shapes task in the UK Biobank dataset and was run using BLM and BLMM on 04/05/21.

1 LG, linkage group.

This dataset provides values for MAP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Using 100,000 permutations the Global Map Dissimilarity between two ERP topographies is estimated. The GMD-score ranges from 0 = identical topographies to 2 = inverted topographies.

Comparison of functional connectivity maps between 3- and 5-year-olds.

For each service, the highest (least similar) and lowest (most similar) map comparison statistic are indicated.Map comparison statistics of individual ecosystem services and bundles.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows six maps of cities or towns at different scales. The portions of all, but the first and last of the maps, illustrate the principal national map series produced by the Surveys and Mapping Branch of the Department of Mines and Technical Surveys [now Natural Resources Canada], circa 1958.

The Federal/State Tribal Data Comparison web map can be used to compare the reservation boundaries that appear on the Minnesota State Highway Map with the U.S. Census Bureau reservation boundaries. This map also shows off-reservation trust land owned by tribes. The map is for informational purposes only. It is not a land survey and does not contain coordinate correct data. Boundaries are not recognition, endorsement, or acceptance by MnDOT or the State of Minnesota.

Comparison of land numbers before and after cadastral map retesting

Historical Dataset of Malakoff Alternative Program (Map) is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1999-2023),Total Classroom Teachers Trends Over Years (2001-2023),Student-Teacher Ratio Comparison Over Years (2001-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2000-2023),White Student Percentage Comparison Over Years (1999-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (2000-2023),Free Lunch Eligibility Comparison Over Years (1999-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2023)