PostGIS常见的空间数据的导入导出
本片文章简单记录了PostGIS涉及的常用数据导入导出的使用方法。这里要注意几个参数,是选用-c还是-a要看你的应用方式,-S这个是在
本片文章简单记录了PostGIS涉及的常用数据导入导出的使用方法。
1.将osm数据导入PostGIS
osm2pgsql -c -d osm -l -E 4326 -S /usr/share/osm2pgsql/default.style xxxxx.osm
这里要注意几个参数,是选用-c还是-a要看你的应用方式,-S这个是在Ubuntu下路径不同时使用,espg可以不用再使用900913了。自然要使得数据库采用UTF8编码最好。
osm2pgsql SVN version 0.70.5
Usage:
osm2pgsql [options] planet.osm
osm2pgsql [options] planet.osm.{gz,bz2}
osm2pgsql [options] file1.osm file2.osm file3.osm
This will import the data from the OSM file(s) into a PostgreSQL database
suitable for use by the Mapnik renderer
Options:
-a|--append Add the OSM file into the database without removing
existing data.
-b|--bbox Apply a bounding box filter on the imported data
Must be specified as: minlon,minlat,maxlon,maxlat
e.g. --bbox -0.5,51.25,0.5,51.75
-c|--create Remove existing data from the database. This is the
default if --append is not specified.
-d|--database The name of the PostgreSQL database to connect
to (default: gis).
-i|--tablespace-index The name of the PostgreSQL tablespace where indexes will be create
to (default: pg_default).
-l|--latlong Store data in degrees of latitude & longitude.
-m|--merc Store data in proper spherical mercator (default)
-M|--oldmerc Store data in the legacy OSM mercator format
-E|--proj num Use projection EPSG:num
-u|--utf8-sanitize Repair bad UTF8 input data (present in planet
dumps prior to August 2007). Adds about 10% overhead.
-p|--prefix Prefix for table names (default planet_osm)
-s|--slim Store temporary data in the database. This greatly
reduces the RAM usage but is much slower.
-S|--style Location of the style file. Defaults to /usr/share/default.style
-C|--cache Only for slim mode: Use upto this many MB for caching nodes
Default is 800
-U|--username Postgresql user name.
-W|--password Force password prompt.
-H|--host Database server hostname or socket location.
-P|--port Database server port.
-e|--expire-tiles [min_zoom-]max_zoom Create a tile expiry list.
-o|--expire-output filename Output filename for expired tiles list.
-r|--input-reader Input frontend.
libxml2 - Parse XML using libxml2. (default)
primitive - Primitive XML parsing.
-O|--output Output backend.
pgsql - Output to a PostGIS database. (default)
gazetteer - Output to a PostGIS database suitable for gazetteer
null - No output. Useful for testing.
-x|--extra-attributes
Include attributes for each object in the database.
This includes the username, userid, timestamp and version.
Note: this option also requires additional entries in your style file.
-k|--hstore Generate an additional hstore (key/value) column to postgresql tables
-z|--hstore-column Generate an additional hstore (key/value) column to containing all tags
that start with the specified string, eg --hstore-column "name:" will
produce an extra hstore column that contains all name:xx tags
-G|--multi-geometry Generate multi-geometry features in postgresql tables.
-K|--keep-coastlines Keep coastline data rather than filtering it out.
By default natural=coastline tagged data will be discarded based on the
assumption that post-processed Coastline Checker shapefiles will be used.
-h|--help Help information.
-v|--verbose Verbose output.
Add -v to display supported projections.
Use -E to access any espg projections (usually in /usr/share/proj/epsg)

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

0.What does this article do? We propose DepthFM: a versatile and fast state-of-the-art generative monocular depth estimation model. In addition to traditional depth estimation tasks, DepthFM also demonstrates state-of-the-art capabilities in downstream tasks such as depth inpainting. DepthFM is efficient and can synthesize depth maps within a few inference steps. Let’s read about this work together ~ 1. Paper information title: DepthFM: FastMonocularDepthEstimationwithFlowMatching Author: MingGui, JohannesS.Fischer, UlrichPrestel, PingchuanMa, Dmytr

DDREASE is a tool for recovering data from file or block devices such as hard drives, SSDs, RAM disks, CDs, DVDs and USB storage devices. It copies data from one block device to another, leaving corrupted data blocks behind and moving only good data blocks. ddreasue is a powerful recovery tool that is fully automated as it does not require any interference during recovery operations. Additionally, thanks to the ddasue map file, it can be stopped and resumed at any time. Other key features of DDREASE are as follows: It does not overwrite recovered data but fills the gaps in case of iterative recovery. However, it can be truncated if the tool is instructed to do so explicitly. Recover data from multiple files or blocks to a single

If you need to know how to use filtering with multiple criteria in Excel, the following tutorial will guide you through the steps to ensure you can filter and sort your data effectively. Excel's filtering function is very powerful and can help you extract the information you need from large amounts of data. This function can filter data according to the conditions you set and display only the parts that meet the conditions, making data management more efficient. By using the filter function, you can quickly find target data, saving time in finding and organizing data. This function can not only be applied to simple data lists, but can also be filtered based on multiple conditions to help you locate the information you need more accurately. Overall, Excel’s filtering function is a very practical

I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.

The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream

Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker

Recently, the military circle has been overwhelmed by the news: US military fighter jets can now complete fully automatic air combat using AI. Yes, just recently, the US military’s AI fighter jet was made public for the first time and the mystery was unveiled. The full name of this fighter is the Variable Stability Simulator Test Aircraft (VISTA). It was personally flown by the Secretary of the US Air Force to simulate a one-on-one air battle. On May 2, U.S. Air Force Secretary Frank Kendall took off in an X-62AVISTA at Edwards Air Force Base. Note that during the one-hour flight, all flight actions were completed autonomously by AI! Kendall said - "For the past few decades, we have been thinking about the unlimited potential of autonomous air-to-air combat, but it has always seemed out of reach." However now,

This week, FigureAI, a robotics company invested by OpenAI, Microsoft, Bezos, and Nvidia, announced that it has received nearly $700 million in financing and plans to develop a humanoid robot that can walk independently within the next year. And Tesla’s Optimus Prime has repeatedly received good news. No one doubts that this year will be the year when humanoid robots explode. SanctuaryAI, a Canadian-based robotics company, recently released a new humanoid robot, Phoenix. Officials claim that it can complete many tasks autonomously at the same speed as humans. Pheonix, the world's first robot that can autonomously complete tasks at human speeds, can gently grab, move and elegantly place each object to its left and right sides. It can autonomously identify objects
