/* Copyright (C) SYSTAP, LLC DBA Blazegraph 2006-2016. All rights reserved. Contact: SYSTAP, LLC DBA Blazegraph 2501 Calvert ST NW #106 Washington, DC 20008 licenses@blazegraph.com This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; version 2 of the License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */ /* * Created on May 19, 2008 */ package com.bigdata.gis; /** * <p> * This is a placeholder for a GIS design. While GIS systems are typically * R-trees, I am considering an approach that leverages the existing scale-out * B+-Tree architecture using a design similar in many ways to the triple store. * </p> * <p> * There would be a feature dictionary with a foward and reverse map assigning * feature identifiers. The feature identifiers should problably reserve the * lower 2-3 bits for coarse coding of broad feature categories so that they may * be filtered on those categories without having to resolve them against the * feature dictionary - filtering on the feature dictionary is a scattered read. * </p> * <p> * The core indices would use keys formed as <code>lat, lon, alt, feature</code>. * The feature needs to show up in the key since there can be more than one * feature at the same spatial location. Alternative indices would provide for * different access paths for the same key, but the feature would always appear * in the last key position giving 3 indices (unless scan of all locations for a * feature is common in which case this gives 6 indices, much like a quad * store). * </p> * <p> * The value for the coordinate indices could either be unusued or could be a * row identifier, much like the sid of the triple store, for making metadata * statements about a specific {coordinate,feature} tuple. Other flags might * also be carried on the value, but note that the value is replicated on each * coordinate access path. * </p> * <p> * If coordinates are entered into the database as of their "event" time then * this design would make it easy to obtain the set of spatial features for a * given moment in time using a historical read for that event time. However, * this is likely to prove difficult when aggregating historical data so the * temporary dimension may also need to enter into the key: * <code>lat, lon, alt, time, feature</code> * </p> * <p> * I am assuming that latitude, longitude, altitude, and time can all be 64-bit * long values assigned from a standard representation such as decimal degrees, * meters above/below sea-level, and UTC milliseconds. Equally the (X,Y,Z) could * be a polar coordinate system. This is really one level above the data model. * Regardless, and unlike the triple store, this means that most of the tuple is * directly generated from "natural" units without the aid of a dictionary. Only * the feature identifiers are assigned by a dictionary. * </p> * <p> * Features need to be extensible metadata that can be used to link together the * spatial extent of both stationary and moving "objects" (tracks). Features * could doubtless be related together in additional ways, e.g., through * part-whole relations, either within the GIS or in an external metadata * database. * </p> * <p> * The basic queries would be things such as "Find me all features F of category * X within REGION (X,Y,Z) between TIME (T1,T2)." This would be coded as a JOIN * of the various coordinate indices with a filter (where appropriate) on the * bits coding coarse feature categories within the identifier and a scatter * query doing fine-grained filtering against the reverse map of the feature * dictionary. * </p> * * @todo impl. sketch using refactor of the triple store. * * @todo comparison with R-tree based approaches and practical GIS designs. * * @todo consideration to metadata mashups. * * @todo consideration to data sources and visualization tool chains for demo * purposes. * * @todo consideration to reconcilation of feature identity and spatial-temporal * locator error for reporting of tracks. * * @todo consideration to very high concurrency for read/write, including * "consistent" writes, read-behind from consistent database states, and * large #ofs tracks (10^6) with no less than 60 seconds update periods. * * @author <a href="mailto:thompsonbry@users.sourceforge.net">Bryan Thompson</a> * @version $Id$ */ public class GISStore { }