Ryan Gabriel Molina ryangmolina

## usable-gis-data-philippines.csv

          
            THEME
            FORMAT
            SOURCE
            LINK

            
              roads, waterways, building footprints, points of interest
              shp, pbf
              OpenStreetMap (OSM)
              http://download.geofabrik.de/asia/philippines.html

            
              administrative boundaries (country, region, province, municipality, city)
              shp
              PSA, NAMRIA, DROMIC, UNOCHA, and patners
              https://data.humdata.org/dataset/philippines-administrative-levels-0-to-3

            
              administrative boundaries (barangay)
              shp
              PSA, NAMRIA, DROMIC, UNOCHA, and patners
              https://data.humdata.org/dataset/philippines-admin4-boundaries-barangay

            
              framework data (boundaries, roads, elevation, population, etc.)
              various
              DIVA-GIS
              http://www.diva-gis.org/gdata

            
              topographic maps (1:50,000 and 1:250,000)
              non-georeferenced raster
              NAMRIA
              http://www.namria.gov.ph/download.php

            
              various geohazards
              shp
              NOAH
              http://noah.up.edu.ph/downloads/

            
              various geohazards
              shp
              DREAM
              https://lipad.dream.upd.edu.ph/

            
              various geohazards
              shp
              MGB
              http://www.namria.gov.ph/download.php

            
              various geohazards
              shp
              PHIVOLCS
              http://www.phivolcs.dost.gov.ph/

## .bashrc
# Enable syntax highlighting in vim + tmux
export TERM="xterm-256color"

## get_image_data.py
def get_image_data(request, id):
    person = Person.objects.get(id=id)
    try:
        image_data = persion.image.open().read()
    except FileNotFoundError:
        raise FileNotFoundError('File not found')

    content_type = mimetypes.guess_type(person.image.path)
    return HttpResponse(image_data, content_type=content_type)

## psn_spider.py
import scrapy


class CrawlerItem(scrapy.Item):
    title = scrapy.Field()
    link = scrapy.Field()
    body = scrapy.Field()


def parse_article(response):

## gma_spider.py
import json
import re
import scrapy


class CrawlerItem(scrapy.Item):
    title = scrapy.Field()
    link = scrapy.Field()
    body = scrapy.Field()

## bandera_inquirer_spider.py
import scrapy


class CrawlerItem(scrapy.Item):
    title = scrapy.Field()
    link = scrapy.Field()
    body = scrapy.Field()


def parse_article(response):

## abscbn_spider.py
import scrapy


class CrawlerItem(scrapy.Item):
    title = scrapy.Field()
    link = scrapy.Field()
    body = scrapy.Field()


def parse_article(response):

## abante_tonite_spider.py
import scrapy


class CrawlerItem(scrapy.Item):
    title = scrapy.Field()
    link = scrapy.Field()
    body = scrapy.Field()


def parse_article(response):

## fuzzy_logic.py
def trimf(x, points):
    pointA = points[0]
    pointB = points[1]
    pointC = points[2]
    slopeAB = getSlope(pointA, 0, pointB, 1)
    slopeBC = getSlope(pointB, 1, pointC, 0)
    result = 0
    if x >= pointA and x <= pointB:
        result = slopeAB * x + getYIntercept(pointA, 0, pointB, 1)
    elif x >= pointB and x <= pointC:
THEME	FORMAT	SOURCE	LINK
roads, waterways, building footprints, points of interest	shp, pbf	OpenStreetMap (OSM)	http://download.geofabrik.de/asia/philippines.html
administrative boundaries (country, region, province, municipality, city)	shp	PSA, NAMRIA, DROMIC, UNOCHA, and patners	https://data.humdata.org/dataset/philippines-administrative-levels-0-to-3
administrative boundaries (barangay)	shp	PSA, NAMRIA, DROMIC, UNOCHA, and patners	https://data.humdata.org/dataset/philippines-admin4-boundaries-barangay
framework data (boundaries, roads, elevation, population, etc.)	various	DIVA-GIS	http://www.diva-gis.org/gdata
topographic maps (1:50,000 and 1:250,000)	non-georeferenced raster	NAMRIA	http://www.namria.gov.ph/download.php
various geohazards	shp	NOAH	http://noah.up.edu.ph/downloads/
various geohazards	shp	DREAM	https://lipad.dream.upd.edu.ph/
various geohazards	shp	MGB	http://www.namria.gov.ph/download.php
various geohazards	shp	PHIVOLCS	http://www.phivolcs.dost.gov.ph/
	# Enable syntax highlighting in vim + tmux
	export TERM="xterm-256color"
	def get_image_data(request, id):
	person = Person.objects.get(id=id)
	try:
	image_data = persion.image.open().read()
	except FileNotFoundError:
	raise FileNotFoundError('File not found')

	content_type = mimetypes.guess_type(person.image.path)
	return HttpResponse(image_data, content_type=content_type)
	import scrapy


	class CrawlerItem(scrapy.Item):
	title = scrapy.Field()
	link = scrapy.Field()
	body = scrapy.Field()


	def parse_article(response):
	import json
	import re
	import scrapy


	class CrawlerItem(scrapy.Item):
	title = scrapy.Field()
	link = scrapy.Field()
	body = scrapy.Field()
	def trimf(x, points):
	pointA = points[0]
	pointB = points[1]
	pointC = points[2]
	slopeAB = getSlope(pointA, 0, pointB, 1)
	slopeBC = getSlope(pointB, 1, pointC, 0)
	result = 0
	if x >= pointA and x <= pointB:
	result = slopeAB * x + getYIntercept(pointA, 0, pointB, 1)
	elif x >= pointB and x <= pointC: