Användarverktyg

Webbverktyg


Sidmeny

Start
Huvudsidor
Kategorier
Geodata


Vad vill du veta mer om?

About Gisela
Adress till koordinat
Analys
API
ArcCatalog
ArcGIS
ArcScene
ArcToolbox i ArcGIS 10
Attributdata
Attributdata i ArcGIS 10
Attributdata i MapInfo
Att projicera data utan koordinatsystem i ArcGIS 10

Bebyggelsedata
Befolkningsdata
Befolkningsprognos
Blå kartan
Buffer

Calculate Geometry i ArcGIS 10
Centroid
Clip i ArcGIS 10
Color GIB2
Connect folder

Datafångst
Diagram
Digitala kartbiblioteket
Distance (Spatial Analyst Tools) i ArcGIS 10
DXF
Dynamisk konisk projektion

Editera i ArcGIS 10
Editera i MapInfo
Ekonomiska kartan
Exportera attributdata till Excel från ArcGIS 10
Export Data i ArcGIS 10

Fastighetskartan
Field Calculator i ArcGIS 10
Film
Fjällkartan
Fjärranalys
Flödeskarta
Fuzzy GIB2
Färgval
Föreläsningar

Generalstabskartan
Geodata
Geodatabas
Geoforum
Geographical data, datakällor
Geometric generalisation with IDRISI Taiga
Geometrisk generalisering i IDRISI Taiga
Geometrisk generalisering
Geometrisk generalisering i ArcGIS 10
Georeferencing with IDRISI Taiga
GET
GIS
GIS filformat
GIS projekt
Google Earth Engine
Google Earth
Google Maps
Google SketchUp
Google Fusion Tables
GPS
Gradnät med ArcGIS 10
GRID
Gröna kartan
GSD
Gula kartan

Handledning Kopiering och överföring av filer
Hantera projektion och koordinatsystem i ArcGIS 10
Häradskarta
HistoryPin
Huvudsidor
Hydrologiska analyser i ArcGIS 10
Höjddata

Idrisi
Importera GRID till ArcGIS 10
Interpolering
Isaritmkarta

Join by Spatial Location i ArcGIS 10
Join from a table med ArcGIS 10
JPEG

Kanteffekter
Karta
Kartbladssystem 2007
Kartering
Kartogram
Kartprojektion
Kategorier
KG2204 3
KG2204 4
Klippa i MapInfo
KML med ArcGIS 10
KML med Google Earth 6
KML och KMZ
KML GIB2
Kom igang med ArcGIS
Kontakt
Konvertera mellan olika typer av geometriska vektorformat
Konvertera vektorfiler till tab MapInfoformat
Konvertera X och Y koordinater till linjer i vektorformat
Koordinatsystem
Koordinat till punkt med ArcGIS 10
Koropletkarta

Lab1 GIB1 HT12
Lab Point to Polygon and Point to Raster
Lantmäteriets kartor
LAS
Layout View i ArcGIS 10
Lidar
Lutningsrelaterade analyser i ArcGIS 10
Lägg till attributdata
Lägg till data i ArcGIS 10
Lästips

MapBasic
MapInfo Professional
Markdata
MBX
Metadata
MIF MID
ModelBuilder och egen Toolbox i ArcGIS 10

NASA WorldWind
Nätverksanalys
Network dataset
Norrpil
Norrpil i ArcGIS 10 0
Norrpil i MapInfo 10

Om Gisela
Ordlista

Positionering
Presentation
Prickkarta
Projicera data
Python

QGIS
Quiz

Raster from IDRISI Taiga to MapInfo 10
Raster till vektor i ArcGIS 10
Rasterdata
Raster calculator
Redigera i wikin
Referenskarta
Rektifiera i Google Earth 6
Rektifiera
Rektifiera i ArcGIS 10
Roda kartan
RT38
RT90
Rumslig kvantifiering

Saccess
Satellitnavigering
Scale with ArcGIS 10
Select i ArcGIS 10
Select i MapInfo
SGU
SHP
Siktrelaterade analyser i ArcGIS 10
Skala
Skalstock i ArcGIS 10
Skapa en buffer i ArcGIS 10
Skapa en buffer i MapInfo 10
Skapa vektordata i Google Earth 6
Skapa vektordata i MapInfo 10
Skapa tredimensionella kartor i ArcScene 10
Skapa tredimensionell höjdmodell i 3DEM
Skapa vektordata i ArcGIS 10
Svenska statens kartor genom tiderna
Sweref99
Symbolkarta

TAB
Tabell
Table of Contents i ArcGIS 10
Teckenförklaring i ArcGIS 10
Teckenförklaring i MapInfo 10
Teckenförklaring
Tematisk karta i ArcGIS 10
Tematisk karta
Terrangkartan
Terrängskuggning med ArcGIS 10
Text på kartan
Text till kolumner med Excel
TFW
TIFF
Tips ArcGIS 10
Tips Google Earth 6
Tips MapInfo 10
Tips Idrisi Taiga
Tool Not Licensed i ArcGIS 10
Topografiska kartan
Topografisk karta
Triangulering
Tyvekkartor

Utforska kartlager i ArcGIS

Vector from IDRISI Taiga to ArcGIS 10
Vector from MapInfo 10 to IDRISI Taiga
Vector to raster with IDRISI Taiga
Vectorisation with MapInfo 10
Vektor till raster i ArcGIS 10
Vektordata
Vektor till raster i IDRISI Taiga
Verktygsfalt
Visualisering av höjddata genom tiderna
Visuell hierarki
Vägdata
Vägkartan

Web GIB2
Web resources for An Introduction to Geographical information systems
WGS84
WMS

XML
X och Y koordinater till punkter i MapInfo

Överlagringsanalys
Översiktskartan

lab_point_to_polygon_and_point_to_raster

KG2204 Exercise 2: Point to Polygon (and more)

Point to Polygon

Copy the folder T\:KG2204\Exercise 2 to your computer.

Open ArcMap and add the following files:

  • Point data with ancient monuments (fastighetskartanVektor_FS_1302_epsg3006_point.shp)
  • Election districts in Sweden (alla_valdistrikt.shp)
  • Excel file with the population 18 years old or older for each election district (population.xls)
  • Water (fastighetskartanVektor_MV_1302_epsg3006_polygon.shp)
  • Rectangle marking the study area (Study_Area.shp)

1. The intensity of monuments and spatial autocorrelation

Create (20 rows x 20 columns) rectangular polygons covering the study area with the tool:

ArcToolbox » Data Management Tools » Feature Class » Create Fishnet

If not open; click Show Help » and read through the information about the functions in the tool. The fishnet should have the same extent as the study area, and consist of 20 rows and columns. You want the results to be polygons.

Give the rectangular polygons values for the number of ancient monuments inside them by right clicking on the layer name of the rectangular polygons in the Table of Contents. Choose:

Joins and Relates » Join…

Do: Join data from another layer based on spatial location

Join your rectangular polygons with the ancient monuments.

All the rectangles have the same area and therefore you don’t need to normalize the number of monuments with the area to get the intensity of monuments.

Visualize the intensity of ancient monuments: Right click on the name of the joined layer and choose Properties…

Go to the tab Symbology and choose:

Quantities » Graduated colors

The value we want to visualize is Count_ Are there any patterns? Do neighboring polygons tend to be more similar than a random polygon? Check if that is the case by calculating the Moran’s I.

ArcToolbox » Spatial Statistics Tools » Analyzing Patterns » Spatial Autocorrelation (Morans I)

You could use CONTIGUITY_EDGES_ONLY as conceptualization of spatial relationships. The result of the analysis is found here:

:Geoprocessing » Results

Index is the value of Moran’s I (positive if there is spatial autocorrelation and not more than 1). The p value indicate if the result is significant.

2. Test the stability of where people live

Now we ask the data if people tend to live in the same areas today as they did during ancient times.

For that we use the election districts. Some of the election districts include a lot of water. Erase those parts from the election districts using the tool:

ArcToolbox » Analysis Tools » Overlay » Erase

Give the election districts values for the population by joining them with the Excel file. Right click on the layer name of the election district polygons with lakes erased. Choose:

Joins and Relates » Join…

Do: Join attributes from a table using the fields: election_d and election_district_id

Now we have the population for each district. We want to calculate the density and therefore also need the area.

Open the attribute table for the election districts layer you have joined with the population. Add a new field for area of the type Float in Table Options (the icon in the upper left corner at the attribute tables).

Right click on the name of the area column and click on Calculate Geometry to calculate the area in km2 .

Add a new column for the population density (type: Float). Right click on the name of this new column and open the Field Calculator. Calculate the population divided with the area.

Count the number of points inside of each polygon in the same way as previous with the rectangular polygons (This can take a while).

Create a new column and calculate the density of the monuments. Export the table as a .dbf file using Table Options.

Open Microsoft Excel and open the dbf file (instead of All Excel Files, choose dBase Files). Copy or erase columns in a way that the population density column is to the right of the monument density column. Mark the both columns (include the headers) and choose:

Insert » (Charts) » Scatter » Scatter with only Markers

3. Test of monuments are close to water

If we instead ask the data if ancient monuments tend to be close to water or not, we can start with reusing the previous rectangular polygons with the count of monuments. We also want to create a raster file with the distance to water using the tool Euclidean Distance:

ArcToolbox » Spatial Analyst Tools » Distance » Euclidean Distance

Calculate the mean distance to water for each rectangular area using the tool:

ArcToolbox » Spatial Analyst Tools » Zonal » Zonal Statistics as Table

Join this new table to the rectangular polygons and export the joined attribute table and open it in Microsoft Excel. Make a scatter plot for how the count of monuments relates to the mean distance for each rectangle.

Observe that we this time ignored the proportion of the rectangle that consist of water.

The End

Put your intensity map and the two scatter plots in a Microsoft Word document and export the document as a PDF. Send in the PDF file on Mondo.

If you have time you can also practice map design using this application.

lab_point_to_polygon_and_point_to_raster.txt · Senast uppdaterad: 2020/03/29 14:23 av Stefan Ene