Data Acquisition using Mashup and 3-D Technology. Matt Rahr College of Agriculture and Life Sciences University of Arizona

Transcription

1 Data Acquisition using Mashup and 3-D Technology Matt Rahr College of Agriculture and Life Sciences University of Arizona

2 Let s Do It! What is a Mashup? + Your Data A hybrid website or web application Content from multiple sources Creates a completely new service

3 Characteristics of Mashups Open source Multipurpose Can be used by communities to share or collect information Can be interactive = pin-maps e.g. Katrina They are not GIS, but could become so

4 HousingMaps.com Mashup Example Craigslist db Mash Data Together & Independent Site

5 Components of a Mashup Data you normally supply some of this The API is published by Google, Microsoft, Yahoo you tie your data to their maps/aerials Web browser is the client interface

6 Using the API

7 Building a Mashup - using the API

8 Getting a key Obtained at Terms of use Unlimited hits 50k geocode requests Google reserves the right to include advertising. Must be freely accessible to end-user. Must have a Google Account (@gmail) Must provide domain name

9 Google Conditions (others do not have these, or these may change)

10 You get a key randomly generated for this domain all your pages with maps must be at this file level.

11 API Steps Create <div> s = empty boxes where the content will go, e.g. a map or data <div id="map" style="width: 500px; height: 300px"></div> Use Javascript functions to fill the div function load() { var map = new GMap2(document.getElementById("map")); map.setcenter(new GLatLng( , ), 13); }

12 API Steps (cont.) Previous code will create this:

13 API Steps (cont.) Add additional commands ( methods, properties and events ) to enable or constrain the map environment e.g. zoom, scroll, get xy center of map, add pins, etc. Explore other ways to enhance your site

14 Data Acquisition Existing Spatial Data into the Mashup Write Javascript via the API var oldmainxy = new GLatLng( , ); var oldmainmarker = new GMarker(oldMainXY); map.addoverlay(oldmainmarker); Using free webtools Convert existing spatial data to KML

15 What is KML? Keyhole Markup Language Its simple-text readable! Its XML based organized, parsable It can be easily edited text editor

16 KML under the hood <Placemark> <name>geoweb 2007</name> <description> Conference held in Vancouver, BC. </description> <Point> <coordinates> , , 0 </coordinates> </Point> </Placemark>

17 KML Other cool things KML can be searchable via Google KML can be viewed across different clients On the web via Google Maps In 3-Dimension within Google Earth In a mobile environment via Google Maps for Mobile KML can be network-linked Auto-refreshes when new data is added to the KML layer.

18 Converting to KML Plenty of Tools ArcGIS 9.2 tool in Arc Toolbox ArcScripts for 9.1 and below Arc2Earth for Enterprise level

19 Data Acquisition Creating New Data within a Mashup Microsoft Virtual Earth Collections Web-Based Sharable via menu Send in Copy to clipboard Blog it Link to it Geometric Measurements built-in Relief data just added Oblique imagery 3D-Built in

20 Data Acquisition Creating New Data within a Mashup Google Maps My Maps Web-Based Sharable via menu Send in Link to it Save as KML* Embed HTML in your tag Extra content can be added to your mashup

21 3 rd Party Mashup Sites Built on top of an existing mapping API, such as Google or Virtual Earth A good selection, each with their pro s and cons.

22 Community Walk

23 Community Walk (cont.)

24 Community Walk (cont.)

25 Using Mashup Providers Pro s No programming required Quick startup time Con s The data you enter stays within the 3 rd Party s database. Difficult to extract data for use in a GIS. Requires users to be registered to yet another site. Map s are shared, but only allows visiting users to view data, not edit.

26 Katrina Info Map

27 Data Acquisition Writing your own Mashup Write a custom interface for your users Programmatically input data using the API. Benefits: Get to collect multiple Attribute Fields Store the data how you want to XML, KML, CSV, plain-text file Database MySQL, Oracle, SQLServer Spatial Database SDE, Oracle Spatial, PostGIS

28

29 Data stored on backend AJAX passes javascript requests to the server Server code then does your ODBC JDBC ADO Connection Spatial Database API ArcObjects, PostGIS API Web Service ArcGIS Server Geoprocessing Service

30 Mobile Data Acquisition Data can be aqquired in the field with a smartphone, a cellular data plan, and a GPS. GPS sends X,Y locations to the smartphone via Bluetooth or serial cable. The phone initiates an IP connection to your database via its cellular data protocol (EVDO, EDGE, HSPDA). Requires mobile software The web-mashup reads data out of database in real-time.

31 Mobile Data Acquisition Solutions Use 3 rd Party Apps Or roll out your own. same pro s and con s

32 Using 3D Technologies in Data Acquisition Helps with visualizing an application. Potential for orientation in the field but there are issues Resolution Bandwidth How to integrate with open source mapping like Google Earth? How to add GIS capability?

33 3-Dimension in Google Earth Google Earth reads KML Points, Lines, Polygons Simple attributes Real-time data can be added on-the-fly with KML s Network Link attribute. Real-time data can also be aggregated from a GeoRSS feed. Raster Data can also be converted to KML Draped over terrain.

34 Insert DRG

35 Close up of fly through

36 Non-geographical uses You can make your z-value some other parameter, like populations statistics e.g. states of Mexico

37 Example states of Mexico

38 Example (cont.)

39 3D in Microsoft Virtual Earth Built as a web-plugin. Sits on the webtop, not a separate program. Similar to Google Earth, but Data cannot be exported/imported on a standard such as KML* Oblique photography automates 3D objects. Google Earth relies on users to graphically create 3D objects and add to the collection.

40 Data Acquisition Mashups - summary Powerful, easy-to-use and cheap. Data integrates nicely into 3D Data can move to the field for data collection and collaboration. Custom mashups allow users to store data in spatial databases for GIS analysis

41 Thanks! Any questions an be directed to me at This presentation can be downloaded at