Python geospatial analysis essentials : process, analyze, and display geospatial data using Python libraries and related tools
If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you. While familiarity with installing third-party Python libraries would be an advantage, no prior knowledge of geospatial programming is required.
Saved in:
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Birmingham, UK :
Packt Publishing,
2015.
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| Series: | Community experience distilled.
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| Subjects: | |
| ISBN: | 1783553898 1782174516 9781782174516 9781783553891 1523106123 9781523106127 |
| Physical Description: | 1 online resource (1 volume) : illustrations |
Cover
Table of contents
| LEADER | 05159cam a2200493 i 4500 | ||
|---|---|---|---|
| 001 | kn-ocn913880040 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 150716s2015 enka o 001 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d YDXCP |d IDEBK |d EBLCP |d DEBSZ |d COO |d DEBBG |d OCLCF |d STF |d OCLCQ |d UAB |d OCLCQ |d MERUC |d OCLCQ |d CEF |d AU@ |d OCLCQ |d WYU |d OCLCQ |d N$T |d SFB |d ERD |d OCLCO |d OCLCQ |d OCLCO | ||
| 020 | |a 1783553898 | ||
| 020 | |a 1782174516 | ||
| 020 | |a 9781782174516 | ||
| 020 | |a 9781783553891 |q (electronic bk.) | ||
| 020 | |a 1523106123 | ||
| 020 | |a 9781523106127 | ||
| 035 | |a (OCoLC)913880040 |z (OCoLC)913078311 |z (OCoLC)913922379 |z (OCoLC)1175855095 | ||
| 100 | 1 | |a Westra, Erik, |e author. | |
| 245 | 1 | 0 | |a Python geospatial analysis essentials : |b process, analyze, and display geospatial data using Python libraries and related tools / |c Erik Westra. |
| 246 | 3 | 0 | |a Process, analyze, and display geospatial data using Python libraries and related tools |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Geospatial Analysis and Techniques; About geospatial analysis; Understanding geospatial data; Setting up your Python installation; Installing GDAL; Installing Shapely; Obtaining some geospatial data; Unlocking the shapefile; Analyzing the data; A program to identify neighboring countries; Summary; Chapter 2: Geospatial Data; Geospatial data quality; Types of geospatial data; Shapefiles; Well-known text; Well-known binary; Spatial databases; Geospatial microformats. | |
| 505 | 8 | |a GeoJSONGML; Digital elevation models; Raster basemaps; Multiband raster files; Sources of freely available geospatial data; Natural Earth Data; OpenStreetMap; US Census Bureau; World Borders Dataset; GLOBE; National Elevation Dataset; Reading and writing geospatial data using Python; Reading vector data; Writing vector data; Reading raster data; Writing raster data; Dealing with spatial reference systems; WGS84; Universal Transverse Mercator; Describing spatial reference systems; Transforming coordinates; Calculating lengths and areas; Geospatial data errors and how to fix them; Points. | |
| 505 | 8 | |a LineStringsLinear Rings; Polygons; MultiPolygons; Fixing invalid geometries; Summary; Chapter 3: Spatial Databases; Spatial database concepts; Installing a spatial database; Installing PostgreSQL; Installing PostGIS; Installing psycopg2; Accessing PostGIS from Python; Setting up a spatial database; Importing spatial data; Querying spatial data; Manipulating spatial data; Exporting spatial data; Summary; Chapter 4: Creating Maps; Introducing Mapnik; Installing Mapnik; A taste of Mapnik; Building a map; Styling a map; Learning Mapnik; Datasources; Symbolizers; PointSymbolizer; LineSymbolizer. | |
| 505 | 8 | |a PolygonSymbolizerTextSymbolizer; RasterSymbolizer; Map rendering; A working example; Next steps; Summary; Chapter 5: Analyzing Geospatial Data; Libraries for spatial analysis; PyProj; NetworkX; Spatial analysis recipes; Calculating and comparing coordinates; Calculating lengths; Calculating areas; Calculating shortest paths; Summary; Chapter 6: Building a Complete Geospatial Analysis System; Matching GPS data against a map; An overview of the GPS Heatmap system; Obtaining the necessary data; Obtaining GPS data; Downloading the road data; Implementing the GPS Heatmap system. | |
| 505 | 8 | |a Initializing the databaseImporting the road data; Splitting the road data into segments; Constructing a network of directed road segments; Implementing the map-matching algorithm; Generating the GPS Heatmap; Further improvements; Summary; Index. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you. While familiarity with installing third-party Python libraries would be an advantage, no prior knowledge of geospatial programming is required. | ||
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Geospatial data. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Westra, Erik. |t Python geospatial analysis essentials : process, analyze, and display geospatial data using Python libraries and related tools. |d Birmingham, England : Packt Publishing Ltd, ©2015 |h ix, 178 pages |k Community experience distilled. |z 9781782174516 |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPGAEPAD7/python-geospatial-analysis?kpromoter=marc |y Full text |
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