Geoapplications development

http://rgeo.wikience.org

Higher School of Economics, Moscow, www.cs.hse.ru

Agenda 2

• What is geospatial data?

• How is it different from other types of data?

• Examples of geospatial data

• What is geoapplication?

• Course goals & organization

• Examples of consumers: companies using geospatial data

• Competitions & projects to participate

• Main readings

• Practical lesson: QGIS, CartoDB, raster & vector data

Geospatial data: 2 types (simplified) 3

VECTOR

What is raster data? http://help.arcgis.com/EN/arcgisdesktop/10.0/help/index.html#//009t00000002000000

RASTER

matrix

Difference from other types of data (simplified) 4

RASTER

matrix

Fundamental difference: presence of spatial coordinates

each cell has (lat, lon, value)

(lat_i, lon_i) for each vertice

VECTOR

Is that all? 5

Everything is not so simple… 6

To name a few: * distances between two points with the same longitudes are different for different latitudes

Everything is not so simple… 7

To name a few: * cell sizes are different on different latitudes * singularities at high latitudes

Regular grid 1.0° × 1.0° Terra (MODIS) Aerosol Optical Thickness, 03 Oct, 2004

Everything is not so simple… 8

To name a few: * longitude range is [ –180 … +180 ] but what if I want to move 10 degrees eastward from 179 degrees? 179 + 10 = 189 …. actually -171

Examples of geospatial data: vector 9

Examples of geospatial data: raster & vector 10

More details are at: http://www.wikience.org/tropical-cyclones/wind-swaths/

Examples of geospatial data: raster & vector 11

•

• IBTrACS hurricane tracks

Examples of geospatial data: satellite raster 12

Examples of geospatial data 13

Much more examples at: http://goworldwind.org/demos/

Video on terrain Analytic Surface

Airspaces Extruded Shapes Scankort Denmark Data

We can do more together during course work

NASA World Wind engine

14

Satellites,

smartphones,

GPS

(1): basic theory: geographic coordinate systems, geocoding, vector and raster data types and operations (3): I/O with vector (SHP, KML, GeoJSON, WKT) and raster (GeoTIFF, NetCDF, HDF) formats (4): network protocols for geodata exchange: WCS, WFS, WMS, OPeNDAP (4): frameworks: Mina, Netty that is used by Twitter (3,4,5): spatial databases and servers: PostGIS, SciDB, GeoServer, TDS (5): software libraries for geodata processing: vector Java Topology Suite, Geotoolkit, Apache SIS and raster ImageMagic, GDAL (6): visualizing geodata with NASA WorldWind, Mapbox, Leaflet, CartoDB

Course goals & organization

Topics cover technologies for complete geospatial data

management chain:

Consumers of geospatial data

15

Who needs geospatial data? How do they process them? What kinds of geospatial data exist?

Note: the world around you is *not * iPhone/Android-centric

16

mobile apps are good, but more interesting things exist

Consumers of geospatial data: motivating examples 17

http://www.spatial.cs.umn.edu/Book/sdb-chap1.pdf

EigenRisk 18

Hurricane swaths, flood footprints, assets

Spatial operations

Visualization

Hurricane

Katrina, 2005

LoJackSci 19

Cargo tracking: GPS, Spatial Database, Web http://www.lojacksci.com/the-lojack-sci-intransit/tracking/

Zillow 20

Selling real

estates

Filter, nearby,

etc.

Examples of geoapplications – 2GIS 21

Places

Positioning

Routes

….

Yelp 22

Seek restaurants, hairdressing saloons, etc. + add other

UrtheCast 23

Live video streaming from International Space Station

Platform for imagery processing

Sputnix, Dauria – Skolkovo residents 24

Native satellite manufacturers –

ensure Russian national interests

Д.К. Мозговой и О.В. Кравец «Использование данных MODIS для экологического мониторинга и контроля чрезвычайных ситуаций»

Blooming in Каховском водохранилище

Precision agriculture

UAV: Unmanned Aerial Vehicles

http://www.youtube.com/watch?v=4ErEBkj_3PY

Consumer: 26

Optimize wind farms locations and operation

Data: wind speed and direction reanalysis and forecasts – raster data

For calendar year 2014, the electricity produced from wind power in the United States amounted to 181.79 terawatt-hours, or 4.44% of all generated electrical energy. https://en.wikipedia.org/wiki/Wind_power_in_the_United_States

Thermal power stations 27

Optimize load depending on climate/weather forecast

-> reduce penalties

Air temperature is

one of the crucial

factors upon

which the station

load depends

More examples 28

www.climate.wikience.org

Tentative course work topics

JavaScript: Web GIS (Geographical Information Service) Data compression, processing, visualization, user interaction

Hadoop

Tentative course work topics

Enterprise big-data platform

We will develop extension for Hadoop for raster data management

Performance evaluation

Tentative course work topics

Evaluate performance of raster data servers

We will develop distributed & multithreaded application to simulate large load

THREDDS

Main readings 32

http://www.spatial.cs.umn.edu/Book/