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220 pages with 65 total maps Locating original landowners in maps has never been an easy task-until now. This volume in the Family Maps series contains newly created maps of original landowners (patent maps) in what is now Dade County, Missouri, gleaned from the indexes of the U.S. Bureau of Land Management. But it offers much more than that. For each township in the county, there are two additional maps accompanying the patent map: a road map and a map showing waterways, railroads, and both modern and many historical city-centers and cemeteries. Included are indexes to help you locate what you are looking for, whether you know a person's name, a last name, a place-name, or a cemetery. The combination of maps and indexes are designed to aid researchers of American history or genealogy to explore frontier neighborhoods, examine family migrations, locate hard-to-find cemeteries and towns, as well as locate land based on legal descriptions found in old documents or deeds. The patent-maps are essentially plat maps but instead of depicting owners for a particular year, these maps show original landowners, no matter when the transfer from the federal government was completed. Dates of patents typically begin near the time of statehood and run into the early 1900s. What's Mapped in this book (that you'll not likely find elsewhere) . . . 3430 Parcels of Land (with original landowner names and patent-dates labeled in the relevant map) 38 Cemeteries plus . . . Roads, and existing Rivers, Creeks, Streams, Railroads, and Small-towns (including some historical), etc. What YEARS are these maps for? Here are the counts for parcels of land mapped, by the decade in which the corresponding land patents were issued: DecadeParcel-count 1840s626 1850s2101 1860s408 1870s154 1880s35 1890s76 1900s27 1910s3 What Cities and Towns are in Dade County, Missouri (and in this book)? Arcola, Bona, Canehill (historical), Carns Ford, Cedarville, Comet, Corry, Crisp, Dadeville, Davenport, Dilday Mill, Dudenville, Emmett (historical), Everton, Fiddlers Ford, Flory (historical), Glen Town, Grays Valley, Greenfield, Hulston, Kings Point, Lockwood, Meinert, Neola, Pennsboro, Pilgrim, Seybert, Sims Point, Snadon Ford, South Greenfield, Sylvania, Turnback (historical)
The interdisciplinary uses of traditional cartographic resources and modern GIS tools allow for the analysis and discovery of information across a wide spectrum of fields. A Research Guide to Cartographic Resources navigates the numerous American and Canadian cartographic resources available in print and online, offering researchers, academics and students with information on how to locate and access the large variety of resources, new and old. Dozens of different cartographic materials are highlighted and summarized, along with lists of map libraries and geospatial centers, and related professional associations. A Research Guide to Cartographic Resources consists of 18 chapters, two appendices, and a detailed index that includes place names, and libraries, structured in a manner consistent with most reference guides, including cartographic categories such as atlases, dictionaries, gazetteers, handbooks, maps, plans, GIS data and other related material. Almost all of the resources listed in this guide are categorized by geography down to the county level, making efficient work of the type of material required to meet the information needs of those interested in researching place-specific cartographic-related resources. Additionally, this guide will help those interested in not only developing a comprehensive collection in these subject areas, but get an understanding of what materials are being collected and housed in specific map libraries, geospatial centers and their related websites. Of particular value are the sections that offer directories of cartographic and GIS libraries, as well as comprehensive lists of geospatial datasets down to the county level. This volume combines the traditional and historical collections of cartography with the modern applications of GIS-based maps and geospatial datasets.