Chose to show names based on fit, or show all labels. Map labels - Show geographic names for your countries/regions. Map area - Change the map's Zoom level, ranging from a state/province view, all the way to the world view. ![]() By default, Excel will display the most efficient style. Map projections - Change the map's projection style. If you need some of the map Series options, then you can build your chart in Excel for Windows or Mac and view it on an Android device or Excel Mobile. There are several map chart specific Series options, however they are not supported in Android devices or Excel Mobile. Depending on your data, Excel will insert either a value or category map. If the preview looks good, then press OK. Now it's time to create a map chart, so select any cell within the data range, then go to the Insert tab > Charts > Maps > Filled Map. In the following example, we've converted a list of countries to geography data types, then selected the Tax revenue (%) field from the Add Column control to use in our map. Excel will automatically convert your data to a geography data type, and will include properties relevant to that data that you can display in a map chart. Simply input a list of geographic values, such as country, state, county, city, postal code, and so on, then select your list and go to the Data tab > Data Types > Geography. Map charts have gotten even easier with geography data types. Each country is represented by a different color. In the following example, Countries by Category, the categories are displayed using a standard legend to show groups or affiliations. By default, the higher the value is, the darker its corresponding color will be. The color for each region is dictated by where along the spectrum its value falls. The values represent tax revenue in each country with each portrayed using a gradient spectrum of two colors. Categories are represented by different colors.įor example, the Countries by Tax Revenue % chart below uses values. Values are represented by slight variations of two to three colors. NASA Socioeconomic Data and Applications Center (SEDAC).įoresight Project on Migration and Global Environmental Change, Report MR4: Estimating Net Migration by Ecosystem and by Decade,1970-2010.Map charts can display both values and categories, and they each have different ways of displaying color. Global Population Density Grid Time Series Estimates. Recommended Citation(s)*:Ĭenter for International Earth Science Information Network - CIESIN - Columbia University. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set. ![]() The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. ![]() These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population density grids. Abstract: The Global Population Density Grid Time Series Estimates provide a back-cast time series of population density grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. Purpose: To provide back-cast population density estimates at 30 arc-second (~1 km) resolution.
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