Note: This is a first attempt to provide guidance in preparing the information product needed for the CLUP and is intended to be used hand-in-hand with Volumes 1 and 2. As more knowledge is gathered, the IP will be updated. Likewise, updates may be required due to new or changing land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates. For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB, telephone +632 927 2698.
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis | ||
| The climate in the Philippines can be divided into two seasons; the rainy season, from June to November, and the dry season from December to May. Typhoons greatly influence the climate and weather in the country. Climate is also uniform at a municipal level. Mapping out climate at an LGU level will only show one climate for the whole area but it is important to include in the LGU’s profile. Global warming is a serious problem facing the world today. Though climate change is a natural phenomenon, global warming is seriously speeding up the rate that contributes to these changes. A serious consideration is the rise in sea level for which the Philippines is greatly affected. Climate change is hard to predict, it requires a high level of analysis, sophistication and powerful computers. However, patterns can still be observed and possible effects can be predicted, and these can be considered during the CLUP process. There have been estimates that the effects of climate change to water level rise can be felt within a period of 10 years, which is the planning period of the CLUP. Due to the lengthy coastlines of the country, the effects of sea level rise is a matter that warrants investigation. The objective is to make the LGUs aware of the possible effects of climate change and global warming to its territory. |
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| Step 2: Identify the Indicators to Evaluate Climate Effect | ||
| The effect on the coastline due to sea level rise will be evaluated. | ||
| Step 3: Create the Database | ||
| Attribute | ||
| There is no database to be filled out. | ||
| The custodian of climate description is PAGASA. | ||
| Step 4: Analyze the Data | ||
| It is possible to do a simple sea level scenario using a facility found in a website: http://flood.firetree.net/. Shown is an indicative map, presenting the possible scenarios which gives the user an idea if sea level rise is a serious threat to the coastal areas. | ||
| More in depth analysis is required, including consultations with experts, so that the LGU can determine the possible effects of climate change and sea level rise in their municipality/city. | ||
| Step 5: Present the Data | ||
| This is just an example of the possible scenarios that can happen. The dotted region in the middle part of the maps indicates the areas that might be affected if there is a 1 m sea level rise. | ||
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Disclaimer: This is a first attempt to provide guidance in preparing the information product needed for the CLUP and is intended to be used hand-in-hand with Volume 1 and 2. As more knowledge is gathered, the IP will be updated. Likewise, updates may be required due to new or changing of land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates.
For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB, telephone +632 927 2698
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis |
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| Type of soil is one factor in identifying suitable areas for expansion. Soil is also an important factor in determining agricultural areas which is already integrated when an LGU produces their SAFDZ and also a consideration when Land Management Unit (LMU) map of the BSWM. The objective is to identify the type of soil which is a criterion in determining soil suitable areas for urban expansion. |
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| Step 2: Identify the Indicators to Evaluate Suitability | ||||||||||||||||||||||||||||
| The four (4) classes of soil suitability are as follows: | ||||||||||||||||||||||||||||
| Class I (Good) - Areas which have properties favorable for the rated use with none to slight limitations which can be easily overcome. Class II (Fair) - Areas with moderate limitations mainly due to soil erosion, moderate drainage problems caused by run-off and slow permeability. Class III (Poor) - Areas with soil having one or more properties unfavorable to the rated use. The limitations are difficult and costly to modify/overcome, requiring major soil reclamation, special design or intensive maintenance. Class IV (Very Poor) - Soil under this classification have very severe limitations for urban requirements which are very difficult and costly to overcome. Complete replacement or modifications or existing soil conditions may be needed. |
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Soil Suitability Classification for Urban Use
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| Step 3: Create the Database | ||||||||||||||||||||||||||||
| Attribute | ||||||||||||||||||||||||||||
| The following attribute tables may be used for this sector. EM01 Soil Type |
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| The custodian of the sector data is the Bureau of Soils and Water Management (BSWM). |
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| Spatial | ||||||||||||||||||||||||||||
| Soil type will be delineated from the soil map taken from BSWM. | ||||||||||||||||||||||||||||
| There will be many type of soil indicated on the map. Our only concern is clay type which is part of the criteria to identify good soil for urban expansion. |
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| Clay | ||||||||||||||||||||||||||||
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| Step 4: Analyze the Data | ||||||||||||||||||||||||||||
| LMU and soil series data are basic data inputs to the determination of crop suitability and soil management. Overlaying the soil map on other land factor maps such as erosion, slope among others would help determine land limitations and physical limitations of the area. |
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| In order to produce soil suitability for urban expansion, we will also need the dataset from slope and flooding which can be derived from secondary source. Include Stoniness/Rockiness if dataset is available. If not, the product of the 3 criteria may be use for preliminary selection and the final selection be criteria be determined when the options are already being assessed. |
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| Slope | ||||||||||||||||||||||||||||
| Good for Urban Expansion (0-10% Slope) | ![]() |
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| Fair for Urban Expansion (10-15% Slope) | ![]() |
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| Flooding | ||||||||||||||||||||||||||||
| Good for Urban Expansion (No Apparent Flooding) | ![]() |
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| Fair for Urban Expansion (Slight Flooding) | ![]() |
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| Step 5: Present the Data | ||||||||||||||||||||||||||||
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Note: This is a first attempt to provide guidance in preparing the information product needed for the CLUP and is intended to be used hand-in-hand with Volumes 1 and 2. As more knowledge is gathered, the IP will be updated. Likewise, revisions may be required due to new or changing land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates.
For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB, telephone +632 927 2698.
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis | ||
| The slope of the land is only one of the several conditions considered in determining the suitability of land for future urban development as well as for crops cultivation and production. Low levels of terrain to moderately sloping areas with good soil characteristics are favorable for agricultural cultivation and urban development. Steeply sloping to mountainous conditions makes the land highly prone to soil erosion and is mostly suitable for forest. | ||
| The objective of the analysis is to show the slope conditions in the municipality/city and to identify the areas that are below 18% slope. The result will only be one of the inputs when analyzing the land suitable for future urban development. | ||
| Step 2: Identify the Indicators to Evaluate Objective Fulfillment | ||
| There are many examples of how slopes are indicated today: from sophisticated division of more than 10 classes to a more simplistic approach. However, the key threshold indicator is ‘more than 18% slope’ which are not suitable for urban development in the Risk and Suitability Analysis made in Step 5 of the CLUP process and consolidates it to be ‘forestland’. | ||
| Step 3: Create the Database | ||
| Attribute | ||
| The attribute table below was used for this example. EM02 Slope |
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| Spatial | ||
| The spatial feature will be a polygon. | ||
| Not Suitable | ||
| There are slope maps available at the BSWM for some areas to start from (see below). If no slope map is available from BSWM, contour maps and spot elevation can be found in NAMRIA topographic maps. For the municipal planner with or with little experience in GIS technology it will still be cumbersome to produce a slope map in a digital format. In case there is no available digital slope map at the BSWM it is recommended that the CLUP slope map is prepared by a professional expert (in tandem with the CLUP Base Map preparation). | ||
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| The following describes the steps to be taken:
The image below is an extract from a digitized contour map with 20 M interval (0,5 dpi grey lines): The map shows the contour lines indicating the steepness or flatness of the land. Contour lines which are close to each other mean slope is steep while those farther apart indicates gentler slope of land. It is, therefore, used to interpret the slope % classes. There is however no need to acquire a contour map if a slope map is available. |
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| The slope map, above in this context, shows seven classes of slopes. For simplification, the slope classes have been assigned a color coding where shades of ‘green’ indicates land that are level to moderately sloping while the shades of red indicates land which are strongly sloping to very steep(above 18%). | ||
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| The contour map overlaid with the slope map. (slope map is 50% transparent ) | ||
| Step 4: Analyze the Data | ||
| The next step will be to generalize the slope classes into two : areas not suitable for urban development and areas to be considered as one of the conditions of suitable areas. Below is a simplified raster layer showing not suitable areas for urban development. | ||
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| Step 5: Present the Data | ||
| The data together with other Baseline maps (fault, flooding, etc) will be used in the Risk and Suitability Analysis. |
Note: This Information Product is a first attempt to provide guidance in preparing the information needed for the CLUP. As more knowledge is gathered, the IP will be updated. Likewise, updates may be required due to new or changing land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates.
For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB: telephone +632 927 2698.
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis | ||
| The safety of the community is a prime consideration in determining the location of future settlements in a locality. It is important therefore, that the susceptibility of an area to flooding be taken in consideration not only in determining future urban areas but also finding solutions to the problem of flooding. Moreover, as planners of municipalities/cities where hazards are inevitable, disaster risk management should be considered in all planning endeavors. | ||
| The main consideration in this example is to determine the location of areas susceptible to flooding which will be given consideration in the GIS analysis to determine suitable sites for urban use, in order to avoid flooding disasters. | ||
| Step 2: Identify the Areas to Determine Location of Flooded Areas | ||
| Indicators are: Flooded and non- flooded areas as seen on the map provided by the MGB geohazard map. PAGASA prepares flooding maps based on meteorology or rainfall. In the future, Hazard maps will be harmonized as there is an ongoing harmonization project for these agencies together with the Phivolcs and NDCC. | ||
| Step 3: Create the Database | ||
| Attribute | ||
| The following attribute table was used for this example. EM03 Flood |
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| Spatial | ||
| The object flood prone areas will be a polygon. | ||
| The image below is a Geohazard map from the MGB. The scanned map will serve as the background when digitizing the flooded areas. Ultimately, residents in the community should also be consulted as they are the most likely persons to know where and when flooding occurs. | ||
| Geohazard image | ||
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| Below is a digitized map of flooded areas using MGB geohazard map and other map sources. | ||
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| Step 4: Analyze the Data | ||
| The digitized flooding map will be useful when alternative spatial strategies are drawn out in coming up with the proposed Land Use Plan as it will be an input when identifying suitable areas for urban expansion. | ||
| Step 5: Present the Data | ||
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| Likewise, this information will in the future be most useful especially when preparing an “Awareness and Preparedness Plan” or the Rehabilitation Plan for areas struck by disasters as well as for flood control purposes. Ultimately, the flooding map data is important for planning for the locations of residential areas. |
Disclaimer: This is a first attempt to provide guidance in preparing the information product needed for the CLUP and is intended to be used hand-in-hand with Volume 1 and 2. As more knowledge is gathered, the IP will be updated. Likewise, updates may be required due to new or changing of land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates.For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB, telephone +632 927 2698.
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis | ||
| The objective is to show areas prone to erosion as input to the risk and suitability analysis. | ||
| Step 2: Identify the Indicators to Evaluate Objective Fulfillment | ||
| Severe erosion would be one of the indicators in determining the unsuitability of an area for future urban expansion. | ||
| Attribute | ||
| The following attribute table was used for this sector. | ||
| The Custodian of sector data is the Bureau of Soils and Water Management. | ||
| Spatial | ||
| Severe Erosion | ||
| Step 4: Analyze the Data | ||
| There is no analysis for this IP | ||
| Step 5: Present the Data | ||
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Note: This Information Product is a first attempt to provide guidance in preparing the information needed for the CLUP. As more knowledge is gathered, the IP will be updated. Likewise, updates may be required due to new or changing land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates.
For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB: telephone +632 927 2698.
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis | ||
| Hazards are great concerns for an LGU. Unlike flooding which can more or less be controlled, through flood control structures, the hazards illustrated here present permanent danger which is beyond the control of men.
A fault is a fracture in the Earth's crust along which two blocks of the crust have slipped with respect to each other. A fault may be active or inactive. An active fault is a fracture caused by an earthquake that has occurred within the last 100 years while an inactive fault is vice versa. An earthquake is a sudden rapid shaking of the earth caused by the breaking and shifting of rock beneath the earth's surface. Earthquakes can cause buildings and bridges to collapse, disrupt gas, electric and phone lines, and often cause landslides, flash floods, fires, avalanches, and tsunamis. Larger earthquakes usually begin with slight tremors but rapidly take the form of one or more violent shocks, and end in vibrations of gradually diminishing force called aftershocks. The underground point of origin of an earthquake is called its focus; the point on the surface directly above the focus is the epicenter. The magnitude and intensity of an earthquake is determined by the use of scales like the Richter scale and the Mercalli scale. Hazards that are associated with faults and earthquakes are liquefaction, earthquake induced landslides and tsunami. Active volcanoes are also risk areas if there is one in the municipality/city or in the vicinity. There is great danger to both property and lives whenever an eruption occurs. The permanent danger zone should be free from any structure and inhabitants to prevent loss of property and lives. Similarly, identified landslide prone areas should also be clear of inhabitants and permanent structures. It is also important that these be included in a dataset if there are any such areas in the municipality/city. Subsidence areas are areas where grounds are likely to fall which can endanger lives and properties. These are just some of the hazards that an area may have. Some agencies might have other datasets (fault lines (inactive), liquefaction, etc.) These areas should be likewise be investigated and their effects be discussed with experts (PHIVOLCS, NAMRIA, individual geologists, etc.) on how they can help the LGU planners include these in their plans. The information to be derived is not intended to scare aware investors but to provide information to LGUs and enforce necessary mitigating measures to manage disaster (for example through zoning, controlled development on affected areas, height requirements on buildings, additional safety features on structures, etc). The objective of this GIS analysis is to present the fault line areas/Earthquake prone areas, volcanic hazard, landslide prone and subsidence areas on the map as input to the Risk and Suitability Map. |
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| Step 2: Identify the Indicators to Evaluate Risk and Suitability | ||
| People living on steep slopes, or mountainous areas which may be in close proximity of an active fault. | ||
| People living in close proximity of an active volcano. | ||
| People who live or work in unreinforced masonry buildings built on filled land or unstable soil are more at risk | ||
| Step 3: Create the Database | ||
| Attribute | ||
| The following attribute tables may be used for this sector. Those in bold are used for the examples here.
EM05 Fault line |
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| The custodians for the data are the Philippine Institute of Volcanology and Seismology (PHIVOLCS), MGB and NDCC | ||
| Spatial | ||
| fault line | ||
| volcano | ||
| Step 4: Analyze the Data | ||
| The following Analyses layers can be prepared based on the Baseline Information: | ||
| There should be a buffer area of 5 m on both sides of a fault line where no development will be made. There is a possibility that fault areas are within urban areas, this will help identify these areas and plan what to do with them. | ||
| Existing built up areas prone to earthquakes (raster) | ||
| Not recommended areas for urban expansion due to earthquake hazards (raster) | ![]() |
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| Step 5: Present the Data | ||
| The example below shows Active Fault lines passing through Agricultural and Forest lands. Direct effects of the fault line would be minimal since these areas are not so populated. However, surrounding areas will still experience the effects depending on the distance and magnitude of the earthquake. But scenarios should be made (with the aid of concerned agencies) to determine the impacts of these active faults in case an earthquake occurs, and the need for evacuation of residents. | ||
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| The next example shows faultlines directly affecting urban areas. A buffer of (250m) for the Fault lines was used for this example. | ||
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| Faultlines buffer overlaid with an aerial photo showing a densely populated urban area. This will give an idea on the possible impact when an earthquake occurs. | ||
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| Example below shows the 4 km Danger zone within active volcanoes. This area should be clear of inhabitants since they present permanent danger whenever the volcano is active. | ||
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Note: This is a first attempt to provide guidance in preparing the information product needed for the CLUP and is intended to be used hand-in-hand with Volumes 1 and 2. As more knowledge is gathered, the IP will be updated. Likewise, updates may be required due to new or changing land-use policies. Furthermore, data will continuously be prepared by the custodians, which may require updates. For the latest update, please check HLURB Homepage: http://www.hlurb.gov.ph/ or contact HLURB, telephone +632 927 2698.
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| Step 1: Provide a Background and Identify the Objectives of the GIS Analysis | ||
| Pollution is a serious problem caused by urbanization. Aside from the ecological aspect of the problem, it is also a planning issue. Air and water pollution have serious effects on the health and lives of people, therefore the sources of pollution (like industries) should be as far away from residential areas. However, there are other sources of pollution such as motor vehicles (mobile sources), which are very common and become part of the urban scenario, and these should also be addressed in planning. Any type of pollution should not go unabated.
Pollution should be controlled and there are already a number of laws that should be applied for pollution control, such as the Clean Air Act, Clean Water Act, Toxic Substances and Nuclear Waste Control Act, Solid Waste Management Act and other laws. The objective is to show the polluted water sources, and areas with poor air quality as a consideration in determining suitable urban areas. |
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| Step 2: Identify the Indicators to Evaluate Suitability. | ||
| If no data is available, physical observation can help determine polluted water bodies and/or areas with poor air quality. | ||
Source : DAO 2000-81 IRR for RA 8749 (Clean Air Act) Part II, Rule VII, Sec. |
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| Step 3: Create the Database | ||
| Attributes | ||
| There are three tables of Environmental Management Information to prepare. Those in bold are used in the example below.
EM10 Water Quality Monitoring |
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| The Custodian of sector data is the Environmental Management Bureau. Some data for air quality could probably be obtained from the Manila Observatory. | ||
| There is very minimal Air and Water Quality Data available for the LGU. There are also very minimal maps to show polluted areas. But even though there is no data, these pollution phenomena can be seen and observed. The LGU would probably know which areas are polluted or have poor air or water quality. The next example shows areas where high density of vehicles ply their routes, and which are also traffic congested. These areas are usually highly polluted due to vehicle exhaust. However, it will be hard to measure the exact affected area of the pollution so only approximations may be used. | ||
| Poor Air Quality | ||
| Poor Water Quality | ||
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| The same can be done with water quality as shown below. It will be trickier to assess water quality due to lack of facilities to actually monitor water quality. But whenever possible, this has to be somehow monitored by the LGUs in coordination with concerned agencies. | ||
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| Step 4: Analyze the Data | ||
| The data above is overlaid with the land use map. These layers will be inputs to the Risk and Suitability Map. | ||
| Step 5: Present the Data | ||
| See maps above |
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| Step 1: Prepare Background and Identify the Objectives | ||||||||||||||||||||||||||||
| Environmentally Critical Areas (ECA) are those areas ranging from national parks to areas frequently exposed to hazards or areas that are historically interesting. These areas are identified in Presidential Proclamation 2146. The wide range in the classification might at first seem overwhelming, however, most data to this dataset will already be found in datasets that have probably been prepared already.
Environmentally Critical Projects (ECP) are projects or industries that have critical environmental impacts and therefore need to undergo environmental impact assessments and need to acquire Environmental Compliance Certificates (ECC) prior to implementation. Even though the LGU may not play a significant role in the environmental impact assessment system it is important to monitor these projects in order to plan for the appropriate location of these projects vis-à-vis residential and other land uses. The CLUP must reflect these areas and projects. Some ECA may need to be surrounded by buffer zones so that the adjacent land will be free from intensive land use and thus protecting the ECAs. In the same way, buffer zones around ECPs can be used to prevent residential or agricultural land use in the vicinities of these projects. The objective of this IP is to present an inventory as complete as possible regardless of what has already been analyzed in other IPs. |
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| Step 2: Identify the ECA Classes, Their Corresponding Datasets and the ECP Categories | ||||||||||||||||||||||||||||
| The table below indicates from which CLUP table(s) the data can be reflected, copied or acquired. ECA Classification (source)
To identify the different Environmental Critical Projects, refer to the projects that have been given an ECC. These can be categorized in the following classes:
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| Step 3: Create the Database | ||||||||||||||||||||||||||||
| Attributes and Spatial | ||||||||||||||||||||||||||||
| There is one table to prepare for this presentation (and it is used in this example):
EM14 Environmentally Critical Projects The custodians of this data are the EMB and LLDA. Simply capture the data into the CLUP table and digitize the locations from a secondary source map, or undertake a GPS survey where these locations are measured and then transferred into the CLUP GIS. The feature types here will be points or polygons. The steps below will guide the presentation of the ECAs based on selections from other CLUP tables. However, if the EMB can provide the map of ECAs, this should enable the creation of a dataset from this source and use this as a comparison to the features that are selected within step 4. |
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| The procedure is to select features from the layers as mentioned below (here presented by their corresponding CLUP table index and short name) and save all selections into a new layer, named ‘ECA’. Another option is to assign the symbol for ECA (red border line) to all the types within a layer that also constitutes ECA.
LM05 NIPAS LM06 Non-NIPAS LM08 Ancestral Domain LM09 Cultural Heritage For the following layers, please refer to guidelines. EM03 Flood EM04 Erosion LM07 SAFDZ |
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| ECA | ||||||||||||||||||||||||||||
| ECP (when polygon) | ||||||||||||||||||||||||||||
| ECP (when point object) | ||||||||||||||||||||||||||||
| Step 4: Analyze the Data | ||||||||||||||||||||||||||||
| There is no analysis for this IP. | ||||||||||||||||||||||||||||
| Step 5: Present the Data | ||||||||||||||||||||||||||||
| The result is a map presenting the selected ECA features (red polygons) and ECP layers (here one layer with blue points and one layer with blue polygons). Roads, rivers and barangay boundaries are added to the map. The map constitutes an inventory of ECA and ECP in the municipality: | ||||||||||||||||||||||||||||
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