Faamo: FArm-Activating Market Optimizer

Faamo (FArm-Activating Market Optimizer) is a web app that provides us a solution to the foreseen global food crisis. By bridging JAXA's satellite data and food market data, Faamo suggests the optimal utilization of agricultural farms on a global scale. Click a place on the map, and you will find other places all over the world that are suitable for production of the similar crops to those in the original place. You can also check food market data in those places on the same map simultaneously.

For more detail, see https://2014.spaceappschallenge.org/project/faamo-farm-activating-market-optimizer-/

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if(typeof Application==="undefined"||!Application){var Application = {};}

// map
var map = null;

//
var cityMasterArray = null;
var cityMarketArray = null;
var cityObservationArray = null;

// アプリケーションのビジネスロジック
Application.faamo = function(){this.init();};

// faamoメイン
Application.faamo.prototype = {
	// 初期化処理
	init : function(){
		this._loadStart();
		var isSuccess = this._loadData();
		if(!isSuccess){
			this._loadError();
		} else {
			this._loadEnd();
		}
	},
	// ロード時のローディング画面
	_loadStart : function(){
		console.log('now loading');
		$('#main_contents').hide();
	},
	_loadEnd : function(){
		$("#loading").delay(600).fadeOut(700);
		$('#main_contents').show();
		console.log('load success');
	},
	_loadError : function(){
		alert('load error');
	},
	
	// データロード
	_loadData : function(){
		var application = new Application.faamo.LinkData();
		// 
//		if(this.isEmpty(cityMaster)){
		cityMasterArray = application.getDataResult('city_master');
//		}
		//
//		if(this.isEmpty(cityMarket)){
		cityMarketArray = application.getDataResult('city_market');
//		}
		//
//		if(this.isEmpty(cityObservation)){
		cityObservationArray = application.getDataResult('city_observation');
//		}
		return true;
	},

};

// LinkData関連
Application.faamo.LinkData = function(){};
Application.faamo.LinkData.prototype = {
	/** 
	 * 指定ファイル内のデータを取得
	 * @param dataname 取得するデータソースのファイル名
	 * @result データソースファイル内の全データの配列
	 */
	getDataResult : function(dataname){
		var resultArray = null;
		$.each(LinkData.getWorks(), function(wKey, workId){
			$.each(LinkData.getFiles(workId), function(fKey, filename){
				if(filename == dataname){
					$.each(LinkData.getSubjects(workId, filename), function(sKey, subject){
						if(resultArray == null) resultArray = new Array();
						var objArray = [];
						$.each(LinkData.getProperties(workId, filename), function(pKey, property){
							var obj = LinkData.getObjects(workId, filename, subject, property);
							var prop = property.split('#')[1];
							var data = obj[0];
							if(data == '' || data == 'undefined') data = '-';
							objArray[prop] = data;
						});
						resultArray.push(objArray);
					});
				}
			});
		});
		return resultArray;
	}
};

Application.faamo.Draw = function(){this._init();};

Application.faamo.Draw.prototype = {

_init : function(){
	},

drawMap : function(){
		var latlng = new google.maps.LatLng(39, 138);
		var opts = {
			zoom: 2,
			mapTypeId: google.maps.MapTypeId.SATELLITE,
			center: latlng
		};
		map = new google.maps.Map(document.getElementById("map"), opts);
		
		for(var i = 0; i < cityMasterArray.length; i++){
			var cityData = cityMasterArray[i];
			
			var markerOpt = new google.maps.Marker({
					position: new google.maps.LatLng(cityData.lat, cityData.long),
					map: map,
					icon: 'http://labs.google.com/ridefinder/images/mm_20_red.png'
			});
			
			this._plotMarker(markerOpt, cityData);
		}
	},
	
	_plotMarker : function(markerOpt, cityData){
		var marker = new google.maps.Marker(markerOpt);
		var instance = this;
		google.maps.event.addListener(marker, 'click', function(event){
			// popup表示
			instance._showInfoWindow(markerOpt, cityData);
			
			// グラフの表示
			instance._drowChart(cityData);
			
			// クリックしたマーカーのクラスを作る
			var heatmapData = new Array();
			var cityCluster = cityData.cluster;
			cityMasterArray.forEach(function(cityMaster, idx){
//				console.log(cityMaster.cluster + ' == ' + cityCluster);
				if(cityMaster.cluster == cityCluster){
//					console.log(' -> match!!!!!');
					// heatmap表示
					heatmapData.push(new google.maps.LatLng(cityMaster.lat, cityMaster.long));
				}
			});
			var heatmap = new google.maps.visualization.HeatmapLayer({
				data: heatmapData,
				radius:25
			});
			heatmap.setMap(map);
		});
		
		marker.setMap(map);
	},
	
	_openInfoWindow : null,
	
	_showInfoWindow : function(marker, cityData){
		console.log('openwindow: ' + this._openInfoWindow);
		if (this._openInfoWindow) {
			this._openInfoWindow.close();
		}
		this._openInfoWindow = new google.maps.InfoWindow({
			content: this._buildHtmlMarketData(cityData)
		});
		google.maps.event.addListener(this._openInfoWindow,'closeclick',function(){
			this._openInfoWindow = null;
		});
		this._openInfoWindow.open(marker.getMap(), marker);
	},
	
	_buildHtmlMarketData : function(cityData){
		var html = '';
		var marketData = null;
		cityMarketArray.forEach(function(cityMarket, idx){
			if(cityData.label == cityMarket.label){
				marketData = cityMarket;
				return;
			}
		});
		
		if(marketData == null) return null;
		
		html = cityData.city_name + ' (' + cityData.country_name + ') ' + 
			'人口増加予測: ' + marketData.population_2013 + ' (2013年)　→　' + marketData.population_2030 + ' (2030年予測) ' +
//	 '物価: ' +
			'米: $ ' + marketData.price_rice + ' (/1Kg) ' +
			'オレンジ: $ ' + marketData.price_orange + ' (/1Kg) ' +
			'レタス: $ ' + marketData.price_lettuce + ' (/1玉) ' +
			'主要品目: ' + marketData.crop_rank1 + ', ' + marketData.crop_rank2 + ', ' + marketData.crop_rank3 + ', ' + marketData.crop_rank4 + ', ' + marketData.crop_rank5 + ',';
		
		return html;
	},
	
	_drowChart : function(cityData){
		var parentNode = document.getElementById('charts');
		
		$('#charts').empty();
		
		var dataType = new Array();
		dataType[0] = {type: 'ndvi', str: 'Normalized Difference Vegetation Index: 植生分布密度指標'};
		dataType[1] = {type: 'olst', str: 'Land Surface Temperature: 地表面温度 (K)'};
		dataType[2] = {type: 'par', str: 'Photosynthetically Available Radiation: 光合成有機放射量 (Einstein/m2/day)'};
		dataType[3] = {type: 'smc', str: 'Soil Water Content: 土壌水分量 (%)'};

for(var i = 0; i < dataType.length; i++){
			var dataArray = this._createDataArray(cityData.label, dataType[i].type);
			var sourceData = [['月', dataType[i].str]].concat(dataArray);
			console.log('dataArray: ' + sourceData);
			var options = {
				lineWidth: 5,
				colors: ['#71BE6B'],
				legend: {position:'none'},
				title: dataType[i].str
			};
			var childNode = document.createElement('div');
			childNode.setAttribute('id', dataType[i].type);
			parentNode.appendChild(childNode);
			var chart = new google.visualization.LineChart(childNode);
			chart.draw(google.visualization.arrayToDataTable(sourceData), options);
		}
	},
	_createDataArray : function(cityCode, dataType){
		var dataArray = null;
		cityObservationArray.forEach(function(obs, idx){
			if(dataArray == null) dataArray = new Array();
			if(cityCode == obs.City_ID){
				var data = 0;
				if(dataType == 'ndvi') data = obs.ndvi;
				if(dataType == 'olst') data = obs.olst;
				if(dataType == 'par') data = obs.par;
				if(dataType == 'smc') data = obs.smc;
				dataArray.push([parseInt(obs.month), parseFloat(data)]);
			}
		});
		return dataArray;
	}
};

google.load("visualization", "1", {packages:["corechart"]});

var application = new Application.faamo();
var draw = new Application.faamo.Draw();
google.setOnLoadCallback(draw.drawMap());

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Contributor Send Message	たく
Collaborators	いき Sayoko Shimoyama Yuta Aoki Takeshi OSOEKAWA Akihiro_Ishimura
Forked from (Parent App)	たく 's グローバル都市マッチングシステム
Run count	1030
Website
License	http://opensource.org/licenses/BSD-2-Clause
Fork count	1
Created date	Mar 30, 2014
Last update date	Apr 18, 2014