Download Python GeoSpatial Analysis Essentials by Erik Westra PDF

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By Erik Westra

Process, examine, and show geospatial info utilizing Python libraries and comparable tools

About This Book

  • Learn to construct an entire geospatial program from scratch utilizing Python
  • Create handsome maps in accordance with the result of your analysis
  • This is a fast moving advisor that can assist you discover the major thoughts of geospatial to acquire top of the range spatial data

Who This e-book Is For

If you're an skilled Python developer and need to get up-to-speed with geospatial programming, then this ebook is for you. whereas familiarity with fitting third-party Python libraries will be a bonus, no earlier wisdom of geospatial programming is required.

What you are going to Learn

  • Understand the main geospatial suggestions and strategies had to research and paintings with geospatial data
  • Learn the way to learn and write geospatial information from inside your Python code
  • Use PostGIS to shop spatial information and practice spatial queries
  • Use Python libraries to research and manage geospatial data
  • Generate maps according to your spatial data
  • Implement whole geospatial research structures utilizing Python
  • Use the Shapely and NetworkX libraries to unravel difficulties resembling distance-area calculations, discovering the shortest course among issues, buffering polygons, and masses more

In Detail

Python is a hugely expressive language that makes it effortless to jot down refined courses. Combining top quality geospatial facts with Python geospatial libraries provide you with a robust toolkit for fixing various geospatial programming tasks.

The ebook starts with an creation to geospatial research and programming and explains the information at the back of geospatial info. you'll discover Python libraries for construction your individual geospatial functions. you are going to discover ways to create a geospatial database to your program utilizing PostGIS and the psycopg2 library, and spot how the Mapnik library can be utilized to create beautiful and necessary maps.

Finally, you'll learn how to use the Shapely and NetworkX libraries to create, study, and control advanced geometric items, earlier than enforcing a procedure to check GPS recordings opposed to a database of roads to supply a heatmap of the main usually used roads.

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Extra resources for Python GeoSpatial Analysis Essentials

Sample text

Rollback() [ 75 ] Spatial Databases The ALTER TABLE command is a standard Postgres command to change the structure of a database table; in this case, we add a new GEOGRAPHY column named buffered_outline. except statement. This is because psycopg2 will raise ProgrammingError if the column already exists. py program multiple times without it failing because the buffered_outline field has already been added to the table. rollback() when an exception occurs. This allows the program to continue even though an exception has been raised.

Later on, when we want to position cells exactly onto a point on the Earth's surface, we'll use both of these concepts while reading raster-format data. Dealing with spatial reference systems One of the things that can be quite confusing when you start working with geospatial data is the notion of a spatial reference system. 478) What do these numbers mean? Are these values a latitude and longitude, or are they perhaps a number of kilometers away from a given reference point? Without understanding how these coordinates translate to a point on the Earth's surface, you'd have no way of knowing where to send your rescuers.

Execute("INSERT INTO users (name, age) VALUES (%s, %s)", (user_name, user_age)) This command would insert a record into the users table, setting the name field to the value of the user_name variable, and the age field to the value of the user_age variable. This conversion of Python values to SQL string literals is extremely powerful and is one of the major benefits of using a database adapter. There is one final complexity in the INSERT statement we are using to import the shapefile's contents into our borders table: we are using the ST_GeogFromText() function to convert our WKT-format string into a geography value before inserting it into the outline field.

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