MapViewer is an affordable and mapping and spatial analysis tool that allows you to easily produce publication-quality thematic maps. No data set is too complex to make an eye-catching plot. MapViewer helps you discover data trends and patterns in your data to help you make the right decision every time!
Create one of more than 16 unique and fully-customizable map types. Color your boundaries based on a data variable with the hatch map and territory map types. Create unique bar charts, pie charts, or line/scatter plots in each boundary with the bar map, pie map, and multi-graph map types. Grid your data and create gradient maps, contour maps, and vector maps from the grid. Re-size your map areas based on a data value with the three cartogram map types (contiguous, non-contiguous, and dorling) and the prism map type. Use the density map, symbol map, flow map, and line graph map types to display points, line graphs, or arrows on your map based on your data value. Add base maps and pin maps to your plot to display boundaries and point locations on your thematic maps.
Who should use MapViewer?
Small businesses, large corporations, independent consultants, scientists, GIS analysts, educators, statisticians, government agencies...
MapViewer can import maps in many different formats to display geographic information. Base maps display boundary objects that do not have thematic data associated with them. They are created from any number of vector or image file formats, such as SHP, DXF, GeoTIFF, and PDF.
Pin maps show points at specific XY locations on a map. The locations can represent sample locations, well locations, or original data point locations, and they can be defined by a latitude/longitude coordinate pair, a U.S. city and state pair, or a 5-digit U.S. ZIP code. Alternatively, you can create a custom location file to use for locating your points .
Display your data in an easy-to-interpret way that is visually stunning! Hatch maps (also known as choropleth maps) use colors and fill patterns to represent data ranges or classes of data for each area on a map. This map type is useful for displaying many types of data sets, like population, crime rates, rainfall, and more.
Contour maps are created by interpolating on a uniform grid between discrete data measurements and then displaying lines of constant values. Display contour maps over any contour range and contour interval, or specify only the contour levels you want to display on the map. With MapViewer you can add color fill between contours to produce dazzling displays of your maps, or produce gray scale fills for dramatic black and white printouts.
Display your thematic data as a proportional-sized symbol in each boundary. Symbol maps place a symbol in relation to the centroid of a boundary object (area, curve, or point). The symbols are scaled and/or colored in proportion to one or two sets of data values represented for each object.
Density maps (or dot density maps) use symbols to represent data values for areas on a map. On a density map, each symbol represents a quantity, so the number of symbols drawn in an area is in relation to the data value associated with that area. For example, if an area has a data value of 3000 and each symbol represents 30, there will be 100 symbols in that area on the map.
Easily create territory maps in MapViewer to group your boundaries into broader categories. Territory maps allow areas, curves, or points to be grouped into territories by defining a grid, numeric class, or text class, or by hand selecting the areas for territories. All objects within a territory are displayed with the same color. Statistics about each data variable for each territory are displayed in the Property Manager.
Instantly create vector maps in MapViewer to show direction and magnitude of data at points on a map. The two components of the vector map, direction and magnitude, are automatically generated from a grid by computing the gradient of the represented surface.
Line Graph Maps
See the overall distribution of your data and visualize how each data value compares to the data set as a while with the line graph map! Line graph maps sort the data values from least to most and plot that as a line graph relative to the centroid of each boundary. Then fill is applied from the minimum value up to the specific data value of that boundary, so you can see at-a-glance how your data values relate to each other.
Gradient maps are created by interpolating on a uniform grid between discrete data measurements and then displaying a continuous range of colors. Display gradient maps over any contour range and contour interval. With MapViewer you can specify a predefined or custom color map to produce beautiful maps.
Compare multiple variables for each boundary with a bar map. Bar maps are a way to compare the values of several data variables both with respect to their relatives in a single boundary and with respect to other values for the same variable in other boundaries. Add a customizable legend to show what each color represents and what values the heights of bars of each color display. Display the bar charts in three dimensions to make your plot spring to life!
Flow maps show data based on line thickness. Flow map lines can be drawn from one boundary object to another, or you can associate a data file with curves on a base map to create a flow map. These maps are a great way to show the movement and quantity of goods or people from one place to another.
Prism maps draw each boundary object as a raised prism, where the height of the prism is relative to the associated data value. Prisms can also be assigned fill colors to represent data ranges or classes of data for each area on a map so they look like a 3D hatch map. Use this flexible map type to display two variables on a single map!
Compare multiple variables that are part of a whole for each boundary with a pie map. Pie maps are a way to represent the proportion of several data values with respect to the whole. Additionally, the size of the pie chart can be varied so that total can be compared as well. Customize the pie charts by adding a third dimension, to make your plot pop right out of the page!
Cartogram maps are arguably the most artistic and visually-pleasing of the thematic maps offered by MapViewer. All three cartogram types in MapViewer are area cartograms, so the area of each boundary is scaled according to a data value. The cartogram types offered by MapViewer are: contiguous cartogram, non-contiguous cartogram, and dorling cartogram.
Have numerous x,y coordinates you want to plot in graphs on your map? Utilize the fully-customizable new multi-graph map to display a unique line/scatter plot at each boundary object. The graphs are located with respect to the object centroids.
Adding multiple map layers to your map gives you a way to combine different types of data in one map. For example, you can overlay a pin map on a hatch map, overlay a base map of highways on a contour map, or plot different scales of administrative boundaries (such as county and state boundaries) on a gradient map.
Customize Your Map
Make your map look its best by customizing it to fit your needs! MapViewer offers numerous plot features to enhance the look of your map. Use MapViewer's defaults, or customize your map by including scale bars, legends, graticules, map collars, and insets, editing colors, lines, and fill styles, showing only portions of a map, and adjusting the scale.
The object manager makes the editing of any map or object simple. It displays all the map layers and objects in the plot document in an easy-to-use hierarchical list. The map layers and objects can be selected, arranged, removed, and renamed in the object manager.
Choose from an endless list of coordinate systems for your plot to display. Specify the source coordinate system for each of the boundary files as you import them, and choose to display the plot in any other coordinate system! MapViewer performs on-the-fly projections, so once your plot coordinate system is set, any imports are automatically converted to that coordinate system.
Create your own scripts to automate repetitive tasks! Don't spend time doing the same process over and over again - write a simple script to simplify your life!
Boundary and Data Files
Boundary files are 'vector' type files that save line, symbol, and area information. Some of these file types are GSB, GSI, DXF, SHP, BNA, BLN, MIF, and E00. These files can create a base map by using the File | Import command or by using the Map | Create Map | Base command. Once a base map has been created from a boundary file, a thematic map can be created using those boundary objects.
MapViewer lets you manipulate your data in many ways to achieve the exact output you want. MapViewer includes a full-featured worksheet for creating, opening, editing, and saving data files. Data files can be up to one billion rows and columns, subject to available memory. You can cut, copy, and paste data within the MapViewer worksheet or between applications.
MapViewer is packed full of additional features designed to help you communicate effectively and professionally.
Supported File Formats
MapViewer 8 supports many popular import and export formats.
- Windows XP SP2, Vista, 7, 8 (excluding RT), or higher
- 32-bit and 64-bit supported
- 1024 X 768 or higher monitor resolution with 16-bit (or higher) color depth
- At least 500 MB free hard disk space
- At least 512 MB RAM minimum, 1GB RAM recommended