Delivered by Peter Siebert, GIS Applications Developer at Harvard University Planning Office (UPO), on December 9th, 2009 in Lamont Library, Forum Room.
The document provides an overview of the Google Maps API version 3. It introduces the API and covers topics like creating a basic map, adding markers, info windows, polylines and polygons. It also discusses customizing maps with options, dealing with large numbers of markers, and location data. The document is a tutorial that guides developers through building maps with various features using the Google Maps API.
Brian Norman spricht auf der App Conference Shape über Bing Maps und die Möglichkeiten für App-Entwickler die Services von Bing für die eigene App zu nutzen. Es werden zudem auch Beispiele gezeigt von erfolgreichen Apps, die auf Bing Maps Technologie aufbauen.
www.bing.ch
Build an OSM mapping platform with DrupalHoshi Liu
The document discusses using the open source content management system Drupal to build mapping platforms and websites using OpenStreetMap (OSM) data. It provides an overview of installing Drupal and key modules like Geofield, Leaflet, and OpenLayers that can be used to incorporate maps and geospatial data into websites. Examples are given of how OSM data and mapping capabilities in Drupal could be used to build sites for geographic education or online learning platforms.
Getting Oriented with MapKit: Everything you need to get started with the new...John Wilker
New in 3.0 Map Kit works with the Google Mobile Maps Service and features panning and zooming, custom annotations, current location and geocoding. This new framework opens up many new possibilities programs not previously possible. Come learn everything you need to know to get started as well as some tips and tricks to speed your programming along.
ArcGIS Data Interoperability: Tips for LiDAR, 3D, and BIMSafe Software
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This document summarizes RelateIQ's experience using Docker to manage their development environments and services.
[1] They conducted a hack day to build Docker files and orchestration scripts for common services like Kafka, MongoDB, Redis and Cassandra. This allowed them to run all services with a single command.
[2] They want to replace Chef with Docker in production for four reasons: dynamic configuration is too complex in Chef; external dependencies cause flaky provisioning; configuration changes create inconsistent states; and Docker is better for developer workflows.
[3] Their future plans for Docker include replacing Chef search with Elasticsearch; integrating monitoring with StatsD or Datadog; and improving the Dockerfile build/management process
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It's presentation of speaking in GIS International Seminar in Korea. You can refer to my full document in http://channy.creation.net/blog/data/channy/gis-seminar-2007.pdf
Delivered by Peter Siebert, GIS Applications Developer at Harvard University Planning Office (UPO), on December 9th, 2009 in Lamont Library, Forum Room.
The document provides an overview of the Google Maps API version 3. It introduces the API and covers topics like creating a basic map, adding markers, info windows, polylines and polygons. It also discusses customizing maps with options, dealing with large numbers of markers, and location data. The document is a tutorial that guides developers through building maps with various features using the Google Maps API.
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www.bing.ch
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ArcGIS Data Interoperability: Tips for LiDAR, 3D, and BIMSafe Software
Discover how to master 3D data and ArcGIS using the Data Interoperability extension. Learn more about transforming LiDAR point clouds, creating 3D buildings from 2D geometries, and converting BIM data formats in ArcGIS for optimal visualization and analysis.
This document summarizes RelateIQ's experience using Docker to manage their development environments and services.
[1] They conducted a hack day to build Docker files and orchestration scripts for common services like Kafka, MongoDB, Redis and Cassandra. This allowed them to run all services with a single command.
[2] They want to replace Chef with Docker in production for four reasons: dynamic configuration is too complex in Chef; external dependencies cause flaky provisioning; configuration changes create inconsistent states; and Docker is better for developer workflows.
[3] Their future plans for Docker include replacing Chef search with Elasticsearch; integrating monitoring with StatsD or Datadog; and improving the Dockerfile build/management process
The User-participated Geospatial Web as Open PlatformChanny Yun
It's presentation of speaking in GIS International Seminar in Korea. You can refer to my full document in http://channy.creation.net/blog/data/channy/gis-seminar-2007.pdf
Web enabling your survey business ppt versionrudy_stricklan
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This document discusses Drupal and the geospatial web. It provides examples of how to display maps and geospatial data using different Drupal modules, APIs and standards like Google Maps, Mapnik, GeoRSS, KML, WMS, and WFS. It also discusses open source geospatial communities and argues that understanding the geospatial web is important for building applications for democracy.
3 Approaches to Mobile - An A to Z Primer.agup2009
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This document provides an overview of online mapping with the Google Maps API. It discusses how Google Maps transformed online mapping by allowing highly interactive panning and zooming. It then describes how the Google Maps API facilitates the creation of map mashups, which involve mapping data from online sites onto maps. Finally, it discusses some hands-on examples that will be covered in the workshop, which demonstrate how to call Google Maps API routines to create customized maps by mapping point, line and area data.
The document discusses options for using maps on mobile devices. It recommends embedding the JavaScript Maps API V3 in native Android and iOS apps to get a native experience with the latest mapping features. This allows loading a JavaScript map within a WebView on mobile. The document outlines the pros and cons of different mapping approaches and highlights features of the JavaScript API V3.
This document describes a project that uses SLAM (Simultaneous Localization and Mapping) to create maps of an unknown environment using a Turtlebot mobile robot equipped with a Kinect sensor. The GMapping ROS package is used to implement SLAM and build occupancy grid maps while simultaneously localizing the robot. Issues arose from using the Kinect's RGB sensor instead of a laser scanner for mapping. The resulting maps showed the robot's trajectory and obstacles but were less precise than if a laser scanner was used. Autonomous navigation on the created maps demonstrated the basic SLAM approach.
In this presentation, I'll take you through most of the improvements to MapInfo Pro v2019 focussing on the enhanced SQL capabilities. I will also give you a glance at what's coming in MapInfo Pro v2021.
Web mapping is the process of designing, implementing, generating and delivering maps on the World Wide Web. The first interactive web map was created in 1994. Major developments in web mapping over time include ESRI's first internet map server in 1998, the launches of OpenStreetMap in 2004 and Google Maps in 2005. Web mapping provides benefits like delivering up-to-date information, lower costs, easy updates, data distribution, personalization, collaboration, interactivity, and access from any device from anywhere. Popular web mapping solutions include ArcGIS Online, Google Maps Engine, Google Maps, and Bing Maps.
This document discusses using the OpenLayers mapping framework with Drupal. It introduces OpenLayers and describes how it can be used to add mapping capabilities to Drupal. The key steps are to add geospatial data using the Geofield module, create maps using the OpenLayers module, and display maps through Views. Additional modules like Geoserver can integrate external map services with Drupal. The document provides examples and discusses ways to customize maps through OpenLayers modules, code, and contributed projects.
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10. Creating a Custom Overlay
Then implement onAdd() and onRemove() called by the API:
1. MarkerLight.prototype.onAdd = function() {
2. // Create the DIV representing our MarkerLight
3. var div = document.createElement("div");
4. div.style.border = "1px solid white";
5. div.style.position = "absolute";
6. div.style.paddingLeft = "0px";
7. div.style.cursor = 'pointer';
8.
9. var img = document.createElement("img");
10. img.src = this.image_;
11. img.style.width = this.width_ + "px";
12. img.style.height = this.height_ + "px";
13. div.appendChild(img);
14.
15. var panes = this.getPanes();
16. panes.overlayLayer.appendChild(div);
17.
18. this.div_ = div;
19. };
20.
21. MarkerLight.prototype.onRemove = function() {
22. this.div_.parentNode.removeChild(this.div_);
23. this.div_ = null;
24. };
11. Creating a Custom Overlay
Then implement draw() and position the DIV:
1. MarkerLight.prototype.draw = function() {
2. var overlayProjection = this.getProjection();
3.
4. // Calculate the DIV coordinates of two opposite corners
5. // of our bounds to get the size and position of our MarkerLight
6. var divPixel = overlayProjection.fromLatLngToDivPixel(this.latlng);
7.
8. // Now position our DIV based on the DIV coordinates of our bounds
9. this.div_.style.width = this.width_ + "px";
10. this.div_.style.left = (divPixel.x) + "px";
11. this.div_.style.height = (this.height_) + "px";
12. this.div_.style.top = (divPixel.y) - this.height_ + "px";
13. };
Then, just create the Marker:
1. var marker = new MarkerLight(latlng,
2. {image:"bluecirclemarker.png"}, map));
33. Static Data Tiles: Counties Example
Zoom 5 Zoom 9
Zoom 6 Zoom 8
Zoom 7
Generated County Tiles
• Tiles generated with Perl script using data in PostGRE
database for zoom levels 5-9
35. Hosting Geo Data
Google Maps Data API
• Stores geo data and associated attributes.
• Supports geospatial and attribute queries
• Storage scales simply with usage.
• Geodata is accessible across platforms and devices.
• Geodata from the Google Maps Data API can be instantly
indexed and made searchable in Google Maps.
App Engine
• Host and run your web applications on Google's infrastructure.
• Easy to build, maintain and scale. Highly customizable.
• Supports Python and Java
• Libraries available to make geospatial queries easier on App
Engine
o http://code.google.com/p/geodatastore/
o http://code.google.com/p/geomodel/